Joint demosaicing and denoising of noisy bayer images with ADMM

Image demosaicing and denoising are import steps of image signal processing. Sequential executions of demosaicing and denoising have essential drawbacks that they degrade the results of each other. Joint demosaicing and denoising overcomes the difficulties by solving the two problems in one model. T...

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Bibliographic Details
Main Authors: Tan, Hanlin, Zeng, Xiangrong, Lai, Shiming, Liu, Yu, Zhang, Maojun
Format: Conference Proceeding
Language:English
Subjects:
ADMM
Bayer image
Demosaicing
Denoising
Image color analysis
Minimization
Noise level
Noise measurement
Noise reduction
Robustness
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Summary:Image demosaicing and denoising are import steps of image signal processing. Sequential executions of demosaicing and denoising have essential drawbacks that they degrade the results of each other. Joint demosaicing and denoising overcomes the difficulties by solving the two problems in one model. This paper introduces a unified object function with hidden priors and a variant of ADMM to recover a full-resolution color image with a noisy Bayer input. Experimental results demonstrate that our method performs better than state-of-the-art methods in both PSNR comparison and human vision. In addition, our method is much more robust to variations of noise level.
ISSN:2381-8549
DOI:10.1109/ICIP.2017.8296823