Chinese Optics Letters, 2007, 5 (1): 28, Published Online: Jan. 11, 2007  

A color correction algorithm for noisy multi-view images Download: 656次

Author Affiliations
1 Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211
2 Department of Information and Electronics Engineering, Zhejiang University, Hangzhou 310027
Abstract
A novel color correction algorithm for noisy multi-view images is presented. The key idea is to use the improved Karhunen-Loeve (K-L) transform to obtain correction matrix that can eliminate noise effect to the fullest extent. Noise variance estimation is first performed in the algorithm. In the end, wavelet transform is applied to denoise the corrected image. Experimental results show that, compared with traditional correction method, a well-performed correction result is achieved using the proposed method, and the visual effect of the denoised corrected image is almost consistent with ideal corrected image.

Feng Shao, Gangyi Jiang, Mei Yu, Ken Chen. A color correction algorithm for noisy multi-view images[J]. Chinese Optics Letters, 2007, 5(1): 28.

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