Total variation
Encyclopedia
In mathematics
, the total variation identifies several slightly different concepts, related to the (local
or global) structure of the codomain
of a function
or a measure
. For a real-valued
continuous function
, defined on an interval
[a, b] ⊂ ℝ, its total variation on the interval of definition is a measure of the one-dimensional arclength of the curve with parametric equation x → (x), for x ∈ [a,b].
in the paper . He used the new concept in order to prove a convergence theorem for Fourier series
of discontinuous periodic function
s whose variation is bounded
. The extension of the concept to functions of more than one variable however is not simple for some reasons.
-valued (or more generally complex
-valued) function
, defined on an interval
⊂ℝ is the quantity
where the supremum
runs over the set of all partitions
of the given interval
.
where is the set of continuously differentiable
vector functions of compact support contained in , and is the essential supremum norm
. Note that this definition does not require that the domain ⊆ℝn of the given function is a bounded set
.
on a measurable space
: then it is possible to define two set function
s and , respectively called upper variation and lower variation, as follows
clearly
The variation (also called absolute variation) of the signed measure is the set function
and its total variation is defined as the value of this measure on the whole space of definition, i.e.
uses upper and lower variations to prove the Hahn–Jordan decomposition
: according to his version of this theorem, the upper and lower variation are respectively a non-negative and a non-positive measure
. Using a more modern notation, define
Then and are two non-negative measure
s such that
The last measure is sometimes called, by abuse of notation
, total variation measure.
If the measure is complex-valued
i.e. is a complex measure
, its upper and lower variation cannot be defined and the Hahn–Jordan decomposition theorem can only be applied to its real and imaginary parts. However, it is possible to follow and define the total variation of the complex-valued measure as follows
The variation of the complex-valued measure is the set function
where the supremum
is taken over all partitions of a measurable set into a finite number of disjoint measurable subsets.
The variation so defined is a positive measure (see ) and coincides with the one defined by when is a signed measure
: its total variation is defined as above. This definition works also if is a vector measure
: the variation is then defined by the following formula
where the supremum is as above. Note also that this definition is slightly more general than the one given by since it requires only to consider finite partitions of the space : this implies that it can be used also to define the total variation on finitely-additive measures.
is exactly one, therefore it is not interesting as a means of investigating the properties of such measures. However, when μ and ν are probability measure
, the total variation distance of probability measures can be defined as
and its values are non-trivial. Informally, this is the largest possible difference between the probabilities that the two probability distribution
s can assign to the same event. For a categorical distribution
it is possible to write the total variation distance as follows
The total variational distance for categorical probability distributions is called statistical distance
: sometimes, in the definition of this distance, the factor is omitted.
can be expressed as an integral
involving the given function instead of as the supremum
of the functional
s of definitions and .
, defined on an interval
⊂ℝ, has the following expression if f' is Riemann integrable
defined on a bounded
open set
⊆ℝn, the total variation of has the following expression
The first step in the proof is to first prove an equality which follows from the Gauss-Ostrogradsky theorem.
Under the conditions of the theorem, the following equality holds:
From the Gauss-Ostrogradsky theorem:
by subtituting , we have:
where is zero on the border of by definition:
Under the conditions of the theorem, from the lemma we have:
in the last part could be omitted, because by definition it's considerate supremum is at most one.
On the other hand we consider and which is the up to approximation of in with the same integral. We can do this hence is dense in . Now again substituting into the lemma:
This means we have a convergent sequence of that tends to as well as we know that . q.e.d.
It can be seen from the proof that the supremum is attained when
The function
is said to be of bounded variation
precisely if its total variation is finite.
defined on the space of measures of bounded variation. The space of measures on a σ-algebra of sets is a Banach space
, called the ca space, relative to this norm. It is contained in the larger Banach space, called the ba space
, consisting of finitely additive (as opposed to countably additive) measures, also with the same norm. The distance function associated to the norm gives rise to the total variation distance between two measures μ and ν.
For finite measures on ℝ, the link between the total variation of a measure μ and the total variation of a function, as described above, goes as follows. Given μ, define a function by
Then, the total variation of the signed measure μ is equal to the total variation, in the above sense, of the function φ. In general, the total variation of a signed measure can be defined using Jordan's decomposition theorem
by
for any signed measure μ on a measurable space .
-valued functional
defined on the space of real-valued
function
s (for the case of functions of one variable) or on the space of integrable functions (for the case of functions of several variables). As a functional, total variation finds applications in several branches of mathematics and engineering, like optimal control
, numerical analysis
, and calculus of variations
, where the solution to a certain problem has to minimize
its value. As an example, use of the total variation functional is common in the following two kind of problems
Several variables
Mathematics
Mathematics is the study of quantity, space, structure, and change. Mathematicians seek out patterns and formulate new conjectures. Mathematicians resolve the truth or falsity of conjectures by mathematical proofs, which are arguments sufficient to convince other mathematicians of their validity...
, the total variation identifies several slightly different concepts, related to the (local
Local property
In mathematics, a phenomenon is sometimes said to occur locally if, roughly speaking, it occurs on sufficiently small or arbitrarily small neighborhoods of points.-Properties of a single space:...
or global) structure of the codomain
Codomain
In mathematics, the codomain or target set of a function is the set into which all of the output of the function is constrained to fall. It is the set in the notation...
of a function
Function (mathematics)
In mathematics, a function associates one quantity, the argument of the function, also known as the input, with another quantity, the value of the function, also known as the output. A function assigns exactly one output to each input. The argument and the value may be real numbers, but they can...
or a measure
Measure
- Legal :* Measure of the Church of England is a law passed by the General Synod and the UK Parliament equivalent of an Act* Measure of the National Assembly for Wales, a law specific to Wales passed by the Welsh Assembly between 2007 and 2011...
. For a real-valued
Real number
In mathematics, a real number is a value that represents a quantity along a continuum, such as -5 , 4/3 , 8.6 , √2 and π...
continuous function
Continuous function
In mathematics, a continuous function is a function for which, intuitively, "small" changes in the input result in "small" changes in the output. Otherwise, a function is said to be "discontinuous". A continuous function with a continuous inverse function is called "bicontinuous".Continuity of...
, defined on an interval
Interval (mathematics)
In mathematics, a interval is a set of real numbers with the property that any number that lies between two numbers in the set is also included in the set. For example, the set of all numbers satisfying is an interval which contains and , as well as all numbers between them...
[a, b] ⊂ ℝ, its total variation on the interval of definition is a measure of the one-dimensional arclength of the curve with parametric equation x → (x), for x ∈ [a,b].
Historical notice
The concept of total variation for functions of one real variable was first introduced by Camille JordanCamille Jordan
Marie Ennemond Camille Jordan was a French mathematician, known both for his foundational work in group theory and for his influential Cours d'analyse. He was born in Lyon and educated at the École polytechnique...
in the paper . He used the new concept in order to prove a convergence theorem for Fourier series
Fourier series
In mathematics, a Fourier series decomposes periodic functions or periodic signals into the sum of a set of simple oscillating functions, namely sines and cosines...
of discontinuous periodic function
Periodic function
In mathematics, a periodic function is a function that repeats its values in regular intervals or periods. The most important examples are the trigonometric functions, which repeat over intervals of length 2π radians. Periodic functions are used throughout science to describe oscillations,...
s whose variation is bounded
Bounded variation
In mathematical analysis, a function of bounded variation, also known as a BV function, is a real-valued function whose total variation is bounded : the graph of a function having this property is well behaved in a precise sense...
. The extension of the concept to functions of more than one variable however is not simple for some reasons.
Total variation for functions of one real variable
The total variation of a realReal number
In mathematics, a real number is a value that represents a quantity along a continuum, such as -5 , 4/3 , 8.6 , √2 and π...
-valued (or more generally complex
Complex number
A complex number is a number consisting of a real part and an imaginary part. Complex numbers extend the idea of the one-dimensional number line to the two-dimensional complex plane by using the number line for the real part and adding a vertical axis to plot the imaginary part...
-valued) function
Function (mathematics)
In mathematics, a function associates one quantity, the argument of the function, also known as the input, with another quantity, the value of the function, also known as the output. A function assigns exactly one output to each input. The argument and the value may be real numbers, but they can...
, defined on an interval
Interval (mathematics)
In mathematics, a interval is a set of real numbers with the property that any number that lies between two numbers in the set is also included in the set. For example, the set of all numbers satisfying is an interval which contains and , as well as all numbers between them...
⊂ℝ is the quantity
where the supremum
Supremum
In mathematics, given a subset S of a totally or partially ordered set T, the supremum of S, if it exists, is the least element of T that is greater than or equal to every element of S. Consequently, the supremum is also referred to as the least upper bound . If the supremum exists, it is unique...
runs over the set of all partitions
Partition of an interval
In mathematics, a partition, P of an interval [a, b] on the real line is a finite sequence of the formIn mathematics, a partition, P of an interval [a, b] on the real line is a finite sequence of the form...
of the given interval
Interval (mathematics)
In mathematics, a interval is a set of real numbers with the property that any number that lies between two numbers in the set is also included in the set. For example, the set of all numbers satisfying is an interval which contains and , as well as all numbers between them...
.
Total variation for functions of n>1 real variables
Let be an open subset of ℝn. Given a function belonging to , the total variation of in is defined aswhere is the set of continuously differentiable
Smooth function
In mathematical analysis, a differentiability class is a classification of functions according to the properties of their derivatives. Higher order differentiability classes correspond to the existence of more derivatives. Functions that have derivatives of all orders are called smooth.Most of...
vector functions of compact support contained in , and is the essential supremum norm
Norm (mathematics)
In linear algebra, functional analysis and related areas of mathematics, a norm is a function that assigns a strictly positive length or size to all vectors in a vector space, other than the zero vector...
. Note that this definition does not require that the domain ⊆ℝn of the given function is a bounded set
Bounded set
In mathematical analysis and related areas of mathematics, a set is called bounded, if it is, in a certain sense, of finite size. Conversely, a set which is not bounded is called unbounded...
.
Total variation in measure theory
Following , consider a signed measureSigned measure
In mathematics, signed measure is a generalization of the concept of measure by allowing it to have negative values. Some authors may call it a charge, by analogy with electric charge, which is a familiar distribution that takes on positive and negative values.-Definition:There are two slightly...
on a measurable space
Sigma-algebra
In mathematics, a σ-algebra is a technical concept for a collection of sets satisfying certain properties. The main use of σ-algebras is in the definition of measures; specifically, the collection of sets over which a measure is defined is a σ-algebra...
: then it is possible to define two set function
Set function
In mathematics, a set function is a function whose input is a set. The output is usually a number. Often the input is a set of real numbers, a set of points in Euclidean space, or a set of points in some measure space.- Examples :...
s and , respectively called upper variation and lower variation, as follows
clearly
The variation (also called absolute variation) of the signed measure is the set function
and its total variation is defined as the value of this measure on the whole space of definition, i.e.
uses upper and lower variations to prove the Hahn–Jordan decomposition
Hahn decomposition theorem
In mathematics, the Hahn decomposition theorem, named after the Austrian mathematician Hans Hahn, states that given a measurable space and a signed measure μ defined on the σ-algebra Σ, there exist two sets P and N in Σ such that:...
: according to his version of this theorem, the upper and lower variation are respectively a non-negative and a non-positive measure
Measure (mathematics)
In mathematical analysis, a measure on a set is a systematic way to assign to each suitable subset a number, intuitively interpreted as the size of the subset. In this sense, a measure is a generalization of the concepts of length, area, and volume...
. Using a more modern notation, define
Then and are two non-negative measure
Measure (mathematics)
In mathematical analysis, a measure on a set is a systematic way to assign to each suitable subset a number, intuitively interpreted as the size of the subset. In this sense, a measure is a generalization of the concepts of length, area, and volume...
s such that
The last measure is sometimes called, by abuse of notation
Abuse of notation
In mathematics, abuse of notation occurs when an author uses a mathematical notation in a way that is not formally correct but that seems likely to simplify the exposition or suggest the correct intuition . Abuse of notation should be contrasted with misuse of notation, which should be avoided...
, total variation measure.
If the measure is complex-valued
Complex number
A complex number is a number consisting of a real part and an imaginary part. Complex numbers extend the idea of the one-dimensional number line to the two-dimensional complex plane by using the number line for the real part and adding a vertical axis to plot the imaginary part...
i.e. is a complex measure
Complex measure
In mathematics, specifically measure theory, a complex measure generalizes the concept of measure by letting it have complex values. In other words, one allows for sets whose size is a complex number.-Definition:...
, its upper and lower variation cannot be defined and the Hahn–Jordan decomposition theorem can only be applied to its real and imaginary parts. However, it is possible to follow and define the total variation of the complex-valued measure as follows
The variation of the complex-valued measure is the set function
Set function
In mathematics, a set function is a function whose input is a set. The output is usually a number. Often the input is a set of real numbers, a set of points in Euclidean space, or a set of points in some measure space.- Examples :...
where the supremum
Supremum
In mathematics, given a subset S of a totally or partially ordered set T, the supremum of S, if it exists, is the least element of T that is greater than or equal to every element of S. Consequently, the supremum is also referred to as the least upper bound . If the supremum exists, it is unique...
is taken over all partitions of a measurable set into a finite number of disjoint measurable subsets.
The variation so defined is a positive measure (see ) and coincides with the one defined by when is a signed measure
Signed measure
In mathematics, signed measure is a generalization of the concept of measure by allowing it to have negative values. Some authors may call it a charge, by analogy with electric charge, which is a familiar distribution that takes on positive and negative values.-Definition:There are two slightly...
: its total variation is defined as above. This definition works also if is a vector measure
Vector measure
In mathematics, a vector measure is a function defined on a family of sets and taking vector values satisfying certain properties. It is a generalization of the concept of measure, which takes nonnegative real values only.-Definitions and first consequences:...
: the variation is then defined by the following formula
where the supremum is as above. Note also that this definition is slightly more general than the one given by since it requires only to consider finite partitions of the space : this implies that it can be used also to define the total variation on finitely-additive measures.
Total variation of probability measures
The total variation of any probability measureProbability measure
In mathematics, a probability measure is a real-valued function defined on a set of events in a probability space that satisfies measure properties such as countable additivity...
is exactly one, therefore it is not interesting as a means of investigating the properties of such measures. However, when μ and ν are probability measure
Probability measure
In mathematics, a probability measure is a real-valued function defined on a set of events in a probability space that satisfies measure properties such as countable additivity...
, the total variation distance of probability measures can be defined as
and its values are non-trivial. Informally, this is the largest possible difference between the probabilities that the two probability distribution
Probability distribution
In probability theory, a probability mass, probability density, or probability distribution is a function that describes the probability of a random variable taking certain values....
s can assign to the same event. For a categorical distribution
Categorical distribution
In probability theory and statistics, a categorical distribution is a probability distribution that describes the result of a random event that can take on one of K possible outcomes, with the probability of each outcome separately specified...
it is possible to write the total variation distance as follows
The total variational distance for categorical probability distributions is called statistical distance
Statistical distance
In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two samples, two random variables, or two probability distributions, for example.-Metrics:...
: sometimes, in the definition of this distance, the factor is omitted.
Total variation of differentiable functions
The total variation of a differentiable functionDifferentiable function
In calculus , a differentiable function is a function whose derivative exists at each point in its domain. The graph of a differentiable function must have a non-vertical tangent line at each point in its domain...
can be expressed as an integral
Integral
Integration is an important concept in mathematics and, together with its inverse, differentiation, is one of the two main operations in calculus...
involving the given function instead of as the supremum
Supremum
In mathematics, given a subset S of a totally or partially ordered set T, the supremum of S, if it exists, is the least element of T that is greater than or equal to every element of S. Consequently, the supremum is also referred to as the least upper bound . If the supremum exists, it is unique...
of the functional
Functional
Generally, functional refers to something able to fulfill its purpose or function.*Functionalism and Functional form, movements in architectural design*Functional group, certain atomic combinations that occur in various molecules, e.g...
s of definitions and .
The form of the total variation of a differentiable functions of one variable
The total variation of a differentiable functionDifferentiable function
In calculus , a differentiable function is a function whose derivative exists at each point in its domain. The graph of a differentiable function must have a non-vertical tangent line at each point in its domain...
, defined on an interval
Interval (mathematics)
In mathematics, a interval is a set of real numbers with the property that any number that lies between two numbers in the set is also included in the set. For example, the set of all numbers satisfying is an interval which contains and , as well as all numbers between them...
⊂ℝ, has the following expression if f' is Riemann integrable
The form of the total variation of a differentiable functions of several variables
Given a differentiable functionDifferentiable function
In calculus , a differentiable function is a function whose derivative exists at each point in its domain. The graph of a differentiable function must have a non-vertical tangent line at each point in its domain...
defined on a bounded
Bounded set
In mathematical analysis and related areas of mathematics, a set is called bounded, if it is, in a certain sense, of finite size. Conversely, a set which is not bounded is called unbounded...
open set
Open set
The concept of an open set is fundamental to many areas of mathematics, especially point-set topology and metric topology. Intuitively speaking, a set U is open if any point x in U can be "moved" a small amount in any direction and still be in the set U...
⊆ℝn, the total variation of has the following expression
Proof
The first step in the proof is to first prove an equality which follows from the Gauss-Ostrogradsky theorem.
Lemma
Under the conditions of the theorem, the following equality holds:
Proof of the lemma
From the Gauss-Ostrogradsky theorem:
by subtituting , we have:
where is zero on the border of by definition:
Proof of the equality
Under the conditions of the theorem, from the lemma we have:
in the last part could be omitted, because by definition it's considerate supremum is at most one.
On the other hand we consider and which is the up to approximation of in with the same integral. We can do this hence is dense in . Now again substituting into the lemma:
This means we have a convergent sequence of that tends to as well as we know that . q.e.d.
It can be seen from the proof that the supremum is attained when
The function
Function (mathematics)
In mathematics, a function associates one quantity, the argument of the function, also known as the input, with another quantity, the value of the function, also known as the output. A function assigns exactly one output to each input. The argument and the value may be real numbers, but they can...
is said to be of bounded variation
Bounded variation
In mathematical analysis, a function of bounded variation, also known as a BV function, is a real-valued function whose total variation is bounded : the graph of a function having this property is well behaved in a precise sense...
precisely if its total variation is finite.
Total variation of a measure
The total variation is a normNorm (mathematics)
In linear algebra, functional analysis and related areas of mathematics, a norm is a function that assigns a strictly positive length or size to all vectors in a vector space, other than the zero vector...
defined on the space of measures of bounded variation. The space of measures on a σ-algebra of sets is a Banach space
Banach space
In mathematics, Banach spaces is the name for complete normed vector spaces, one of the central objects of study in functional analysis. A complete normed vector space is a vector space V with a norm ||·|| such that every Cauchy sequence in V has a limit in V In mathematics, Banach spaces is the...
, called the ca space, relative to this norm. It is contained in the larger Banach space, called the ba space
Ba space
In mathematics, the ba space ba of an algebra of sets \Sigma is the Banach space consisting of all bounded and finitely additive measures on \Sigma. The norm is defined as the variation, that is \|\nu\|=|\nu|....
, consisting of finitely additive (as opposed to countably additive) measures, also with the same norm. The distance function associated to the norm gives rise to the total variation distance between two measures μ and ν.
For finite measures on ℝ, the link between the total variation of a measure μ and the total variation of a function, as described above, goes as follows. Given μ, define a function by
Then, the total variation of the signed measure μ is equal to the total variation, in the above sense, of the function φ. In general, the total variation of a signed measure can be defined using Jordan's decomposition theorem
Hahn decomposition theorem
In mathematics, the Hahn decomposition theorem, named after the Austrian mathematician Hans Hahn, states that given a measurable space and a signed measure μ defined on the σ-algebra Σ, there exist two sets P and N in Σ such that:...
by
for any signed measure μ on a measurable space .
Applications
Total variation can be seen as a non-negative realReal number
In mathematics, a real number is a value that represents a quantity along a continuum, such as -5 , 4/3 , 8.6 , √2 and π...
-valued functional
Functional (mathematics)
In mathematics, and particularly in functional analysis, a functional is a map from a vector space into its underlying scalar field. In other words, it is a function that takes a vector as its input argument, and returns a scalar...
defined on the space of real-valued
Real number
In mathematics, a real number is a value that represents a quantity along a continuum, such as -5 , 4/3 , 8.6 , √2 and π...
function
Function (mathematics)
In mathematics, a function associates one quantity, the argument of the function, also known as the input, with another quantity, the value of the function, also known as the output. A function assigns exactly one output to each input. The argument and the value may be real numbers, but they can...
s (for the case of functions of one variable) or on the space of integrable functions (for the case of functions of several variables). As a functional, total variation finds applications in several branches of mathematics and engineering, like optimal control
Optimal control
Optimal control theory, an extension of the calculus of variations, is a mathematical optimization method for deriving control policies. The method is largely due to the work of Lev Pontryagin and his collaborators in the Soviet Union and Richard Bellman in the United States.-General method:Optimal...
, numerical analysis
Numerical analysis
Numerical analysis is the study of algorithms that use numerical approximation for the problems of mathematical analysis ....
, and calculus of variations
Calculus of variations
Calculus of variations is a field of mathematics that deals with extremizing functionals, as opposed to ordinary calculus which deals with functions. A functional is usually a mapping from a set of functions to the real numbers. Functionals are often formed as definite integrals involving unknown...
, where the solution to a certain problem has to minimize
Maxima and minima
In mathematics, the maximum and minimum of a function, known collectively as extrema , are the largest and smallest value that the function takes at a point either within a given neighborhood or on the function domain in its entirety .More generally, the...
its value. As an example, use of the total variation functional is common in the following two kind of problems
- Numerical analysis of differential equations: it is the science of finding approximate solutions to differential equationDifferential equationA differential equation is a mathematical equation for an unknown function of one or several variables that relates the values of the function itself and its derivatives of various orders...
s. Applications of total variation to this problems are detailed in the article "total variation diminishingTotal variation diminishingIn numerical methods, total variation diminishing is a property of certain discretization schemes used to solve hyperbolic partial differential equations...
"
- Image denoising: in image processingImage processingIn electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image...
, denoising is a collection of methods used to reduce the noiseElectronic noiseElectronic noise is a random fluctuation in an electrical signal, a characteristic of all electronic circuits. Noise generated by electronic devices varies greatly, as it can be produced by several different effects...
in an imageImageAn image is an artifact, for example a two-dimensional picture, that has a similar appearance to some subject—usually a physical object or a person.-Characteristics:...
reconstructed from data obtained by electronic means, for example data transmissionData transmissionData transmission, digital transmission, or digital communications is the physical transfer of data over a point-to-point or point-to-multipoint communication channel. Examples of such channels are copper wires, optical fibres, wireless communication channels, and storage media...
or sensingSensorA sensor is a device that measures a physical quantity and converts it into a signal which can be read by an observer or by an instrument. For example, a mercury-in-glass thermometer converts the measured temperature into expansion and contraction of a liquid which can be read on a calibrated...
. Total variation denoisingTotal variation denoisingIn signal processing, Total variation denoising, also known as total variation regularization is a process, most often used in digital image processing that has applications in noise removal. It is based on the principle that signals with excessive and possibly spurious detail have high total...
is the name for the application of total variation to image noise reduction; further details can be found in the paper .
See also
- Bounded variationBounded variationIn mathematical analysis, a function of bounded variation, also known as a BV function, is a real-valued function whose total variation is bounded : the graph of a function having this property is well behaved in a precise sense...
- Total variation diminishingTotal variation diminishingIn numerical methods, total variation diminishing is a property of certain discretization schemes used to solve hyperbolic partial differential equations...
- Total variation denoisingTotal variation denoisingIn signal processing, Total variation denoising, also known as total variation regularization is a process, most often used in digital image processing that has applications in noise removal. It is based on the principle that signals with excessive and possibly spurious detail have high total...
- Quadratic variationQuadratic variationIn mathematics, quadratic variation is used in the analysis of stochastic processes such as Brownian motion and martingales. Quadratic variation is just one kind of variation of a process.- Definition :...
Theory
One variable- "Total variation" on PlanetmathPlanetMathPlanetMath is a free, collaborative, online mathematics encyclopedia. The emphasis is on rigour, openness, pedagogy, real-time content, interlinked content, and also community of about 24,000 people with various maths interests. Intended to be comprehensive, the project is hosted by the Digital...
.
Several variables
- Final comments of Anatolii Georgievich Vitushkin on the paper .......
Measure theory..
Probability theory- M. Denuit and S. Van Bellegem "On the stop-loss and total variation distances between random sums", discussion paper 0034 of the Statistic Institute of the "Université Catholique de LouvainUniversité catholique de LouvainThe Université catholique de Louvain, sometimes known, especially in Belgium, as UCL, is Belgium's largest French-speaking university. It is located in Louvain-la-Neuve and in Brussels...
".
Applications
(a work dealing with total variation application in denoising problems for image processingImage processingIn electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as a photograph or video frame; the output of image processing may be either an image or, a set of characteristics or parameters related to the image...
).
- Tony F. ChanTony F. ChanTony Fan-Cheong Chan is a Hong Kong-born mathematician and President of the Hong Kong University of Science and Technology since 1 September 2009.He succeeded Chu Ching-wu who retired from HKUST in August 2009....
and Jackie (Jianhong) Shen (2005), Image Processing and Analysis - Variational, PDE, Wavelet, and Stochastic Methods, SIAM, ISBN 0-89871-589-X (with in-depth coverage and extensive applications of Total Variations in modern image processing, as started by Rudin, Osher, and Fatemi).
- M. Denuit and S. Van Bellegem "On the stop-loss and total variation distances between random sums", discussion paper 0034 of the Statistic Institute of the "Université Catholique de Louvain