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
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;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4577-0394-2
DOI :
10.1109/CVPR.2011.5995371