DocumentCode
1340919
Title
Color TV: total variation methods for restoration of vector-valued images
Author
Blomgren, Peter ; Chan, Tony F.
Author_Institution
Dept. of Math., California Univ., Los Angeles, CA, USA
Volume
7
Issue
3
fYear
1998
fDate
3/1/1998 12:00:00 AM
Firstpage
304
Lastpage
309
Abstract
We propose a new definition of the total variation (TV) norm for vector-valued functions that can be applied to restore color and other vector-valued images. The new TV norm has the desirable properties of (1) not penalizing discontinuities (edges) in the image, (2) being rotationally invariant in the image space, and (3) reducing to the usual TV norm in the scalar case. Some numerical experiments on denoising simple color images in red-green-blue (RGB) color space are presented
Keywords
image colour analysis; image restoration; noise; telecommunication channels; RGB color space; color TV; color image denoising; color restoration; image discontinuities; image edges; image space; numerical experiments; rotationally invariant method; total variation methods; total variation norm; vector-valued functions; vector-valued image restoration; Color; Colored noise; Humans; Image edge detection; Image restoration; Multidimensional systems; Multispectral imaging; Noise level; Noise reduction; TV;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.661180
Filename
661180
Link To Document