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The constrained independent component analysis (cICA) provides a general framework to incorporate the prior information. To overcome the unstable problem encountered in the cICA algorithm of [2], an improved method is proposed in this letter by using the reference based unmixing matrix initialization. Compared to the original algorithm, the prior information of references is not only used in the contrast...
This paper mainly discussed the algorithm of sparse coding based on the kurtosis criterion and its application in natural image compression. Sparse coding of natural images is in fact a transformation coding method, and it can efficiently perform extracting natural images' features and compressing images. Utilizing the kurtosis as the punitive function of sparse coding method's sparsity, it can ensure...
A new natural image denoising method using Sparse Independent Component Analysis (SICA) based on Gabor wavelet is discussed in this paper. In order to maximize the sparsity, SICA algorithm utilizes linfin norm as the sparse penalty function. At the same time, to insure the speed of SICA, 2-D Gabor wavelet bases are used as the initialization feature bases of SICA. This SICA algorithm does not need...
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