Total variation denoising and enhancement of color images based on the CB and HSV color models

Tony F. Chan; Sung Ha Kang; Jianhong Shen

doi:10.1006/jvci.2001.0491

Total variation denoising and enhancement of color images based on the CB and HSV color models

Tony F. Chan^*, Sung Ha Kang, Jianhong Shen

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

138 Scopus citations

Abstract

Most denoising and enhancement methods for color images have been formulated on linear color models, namely, the channel-by-channel model and vectorial model. In this paper, we study the total variation (TV) restoration based on the two nonlinear (or nonflat) color models: the chromaticity-brightness model and hue-saturation-value model. These models are known to be closer to human perception. Recent works on the variational/PDE method for nonflat features by several authors enable us to denoise the chromaticity and hue components directly. We present both the mathematical theory and digital implementation for the TV method. Comparison to the traditional TV restorations based on linear color models is made through various experiments.

Original language	English (US)
Pages (from-to)	422-435
Number of pages	14
Journal	Journal of Visual Communication and Image Representation
Volume	12
Issue number	4
DOIs	https://doi.org/10.1006/jvci.2001.0491
State	Published - Dec 2001
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Media Technology
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1006/jvci.2001.0491

Cite this

@article{63df366bcba14b92bec6d23ff16b3fcc,

title = "Total variation denoising and enhancement of color images based on the CB and HSV color models",

abstract = "Most denoising and enhancement methods for color images have been formulated on linear color models, namely, the channel-by-channel model and vectorial model. In this paper, we study the total variation (TV) restoration based on the two nonlinear (or nonflat) color models: the chromaticity-brightness model and hue-saturation-value model. These models are known to be closer to human perception. Recent works on the variational/PDE method for nonflat features by several authors enable us to denoise the chromaticity and hue components directly. We present both the mathematical theory and digital implementation for the TV method. Comparison to the traditional TV restorations based on linear color models is made through various experiments.",

author = "Chan, {Tony F.} and Kang, {Sung Ha} and Jianhong Shen",

year = "2001",

month = dec,

doi = "10.1006/jvci.2001.0491",

language = "English (US)",

volume = "12",

pages = "422--435",

journal = "Journal of Visual Communication and Image Representation",

issn = "1047-3203",

publisher = "Academic Press Inc.",

number = "4",

}

TY - JOUR

T1 - Total variation denoising and enhancement of color images based on the CB and HSV color models

AU - Chan, Tony F.

AU - Kang, Sung Ha

AU - Shen, Jianhong

PY - 2001/12

Y1 - 2001/12

N2 - Most denoising and enhancement methods for color images have been formulated on linear color models, namely, the channel-by-channel model and vectorial model. In this paper, we study the total variation (TV) restoration based on the two nonlinear (or nonflat) color models: the chromaticity-brightness model and hue-saturation-value model. These models are known to be closer to human perception. Recent works on the variational/PDE method for nonflat features by several authors enable us to denoise the chromaticity and hue components directly. We present both the mathematical theory and digital implementation for the TV method. Comparison to the traditional TV restorations based on linear color models is made through various experiments.

AB - Most denoising and enhancement methods for color images have been formulated on linear color models, namely, the channel-by-channel model and vectorial model. In this paper, we study the total variation (TV) restoration based on the two nonlinear (or nonflat) color models: the chromaticity-brightness model and hue-saturation-value model. These models are known to be closer to human perception. Recent works on the variational/PDE method for nonflat features by several authors enable us to denoise the chromaticity and hue components directly. We present both the mathematical theory and digital implementation for the TV method. Comparison to the traditional TV restorations based on linear color models is made through various experiments.

UR - http://www.scopus.com/inward/record.url?scp=0035694294&partnerID=8YFLogxK

U2 - 10.1006/jvci.2001.0491

DO - 10.1006/jvci.2001.0491

M3 - Article

AN - SCOPUS:0035694294

SN - 1047-3203

VL - 12

SP - 422

EP - 435

JO - Journal of Visual Communication and Image Representation

JF - Journal of Visual Communication and Image Representation

IS - 4

ER -

Total variation denoising and enhancement of color images based on the CB and HSV color models

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this