Title
Color shrinkage for sparse coding of color images
Abstract
As a basic tool for deriving sparse representation of a color image from its atomic-decomposition with a redundant dictionary, this paper presents a new kind of shrinkage, viz. color shrinkage, which utilizes inter-channel color cross-correlations directly in the three primary color space. Among various schemes of color shrinkage, this paper particularly addresses the hard color-shrinkage, a natural extension of the classic hard-shrinkage, and shows the advantages over the existing shrinkage approach where the classic hard-shrinkage is applied after a non-redundant color transformation. Moreover, to mitigate defects of the existing shrinkage approach, this paper presents a new simple color-shrinkage scheme that applies the classic hard-shrinkage together with a redundant color transformation instead of a non-redundant color transformation. Furthermore, this paper applies our color-shrinkage schemes to color-image denoising in the tight-frame Haar wavelet transform domain, and experimentally demonstrates their superiority over the existing shrinkage approach.
Year
Venue
Keywords
2010
Aalborg
haar transforms,image colour analysis,image representation,wavelet transforms,classic hard-shrinkage,inter-channel color cross-correlations,redundant color transformation,simple color-shrinkage scheme,sparse coding,sparse representation,three primary color space,tight-frame haar wavelet transform domain,dictionaries,color,colored noise,noise reduction
Field
DocType
ISSN
Computer vision,Color histogram,Shrinkage,Color balance,Demosaicing,Artificial intelligence,Color normalization,Color quantization,Mathematics,Primary color,Color image
Conference
2219-5491
Citations 
PageRank 
References 
1
0.39
4
Authors
3
Name
Order
Citations
PageRank
Takahiro Saito110030.46
Yasutaka Ueda241.51
Takashi Komatsu311333.96