Image Denoising Algorithm Based on Independent Component Analysis
Hongyan Li, Guang-long Ren, Xiao Bao-jin · 2009
Image denoising algorithm based on independent component analysis is proposed. The standard independent component analysis algorithm require that the number of sensors is more than or equal to that of sources, so it is impossible to apply independent component analysis to single channel image denoising directly. In this paper, a single channel image denoising algorithm is proposed by constructing a noise image to as another observation signal for single channel noise reduction based on independent component analysis, thereby noise and original image can be separated through independent component analysis. Simulation result shows that much better denoising effect and signal-noise ration can be obtained by using this algorithm.