Paper Info
Title
Spatially Adaptive Super-Resolution Sharpening-Demosaicking For A Single Solid-State Color Image Sensor
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, afterward we introduced the super-resolution into the prototypal method. We formulated the recovery problem in the DFT domain, and then introduced the super-resolution by the total-variation (TV) image regularization into the sharpening-demosaicking approach. The TV-based super-resolution effectively demosaiced sharp color images while preserving such image structures as intensity values are almost constant along edges, without producing ringing artifacts. However, the TV image regularization works as the smoothing, and it tends to suppress small intensity variations excessively. Hence, the TV-based super-resolution sharpening-demosaicking approach tends to crash texture details in texture image regions. To remedy the drawback, in this paper 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
2006
10.1117/12.641325
DIGITAL PHOTOGRAPHY II
Keywords
Field
DocType
de-blurring, interpolation, total variation, image regularization, super-resolution, adaptive control, optical low-pass filter, color filter array
Computer vision,Ringing artifacts,Color histogram,Computer science,Demosaicing,RGB color model,Color gel,Artificial intelligence,Pixel,Image restoration,Color image
Conference
Volume
ISSN
Citations 
6069
0277-786X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Takahiro Saito110030.46
Takashi Komatsu211333.96