DocumentCode
2913841
Title
Noise suppression in low-light images through joint denoising and demosaicing
Author
Chatterjee, Priyam ; Joshi, Neel ; Kang, Sing Bing ; Matsushita, Yasuyuki
Author_Institution
Univ. of California, Santa Cruz, CA, USA
fYear
2011
fDate
20-25 June 2011
Firstpage
321
Lastpage
328
Abstract
We address the effects of noise in low-light images in this paper. Color images are usually captured by a sensor with a color filter array (CFA). This requires a demosaicing process to generate a full color image. The captured images typically have low signal-to-noise ratio, and the demosaicing step further corrupts the image, which we show to be the leading cause of visually objectionable random noise patterns (splotches). To avoid this problem, we propose a combined framework of denoising and demosaicing, where we use information about the image inferred in the denoising step to perform demosaicing. Our experiments show that such a framework results in sharper low-light images that are devoid of splotches and other noise artifacts.
Keywords
image colour analysis; image denoising; image restoration; image segmentation; image sensors; optical filters; random noise; CFA; color filter array; color images; image demosaicing; image denoising; low-light image noise suppression; visually objectionable random noise pattern; Cameras; Colored noise; Image color analysis; Noise measurement; Noise reduction; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location
Providence, RI
ISSN
1063-6919
Print_ISBN
978-1-4577-0394-2
Type
conf
DOI
10.1109/CVPR.2011.5995371
Filename
5995371
Link To Document