Title
Super-resolution sharpening-demosaicking with spatially adaptive total-variation image regularization
Abstract
We previously presented a demosaicking method that simultaneously removes image blurs caused by an optical low-pass filter used in a digital color camera with the Bayer’s RGB color filter array. Our prototypal sharpening-demosaicking method restored only spatial frequency components lower than the Nyquist frequency corresponding to the mosaicking pattern, but it often produced ringing artifacts near color edges. To overcome this difficulty, this paper introduces the super-resolution into the prototypal method. First, we for mulate the recovery problem in the DFT domain, and then introduce the super-resolution by the total-variation (TV) image regularization into the sharpening-demosaicking approach. The TV-based super-resolution effectively demosaics sharp color images while preserving such image structures as intensity values are almost constant along edges, without producing ringing artifacts, but it tends to flatten signal variations excessively in texture image regions. To remedy the drawback, furthermore we introduce a spatially adaptive technique that controls the TV image regularization according to the saliency of color edges around a pixel.
Year
DOI
Venue
2005
10.1007/11581772_22
PCM (1)
Keywords
Field
DocType
tv-based super-resolution,super-resolution sharpening-demosaicking,image structure,spatially adaptive total-variation image,demosaicking method,tv image regularization,color edge,rgb color filter array,image regularization,digital color camera,demosaics sharp color image,texture image region,low pass filter,color image,color filter array,spatial frequency,total variation,super resolution
Ringing artifacts,Computer vision,Color histogram,Pattern recognition,Image texture,Computer science,Demosaicing,Artificial intelligence,Pixel,RGB color model,Color gel,Color image
Conference
Volume
ISSN
ISBN
3767
0302-9743
3-540-30027-9
Citations 
PageRank 
References 
4
0.44
5
Authors
2
Name
Order
Citations
PageRank
Takahiro Saito110030.46
Takashi Komatsu211333.96