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Blind Separation of Permuted Alias Image with Morphological Diversity Based on NSCT and Waveatom Dictionary
2015
International Journal of Signal Processing, Image Processing and Pattern Recognition
A blind separation algorithm was proposed for the type of permuted alias images with morphological diversity in this paper. Firstly, permuted alias image mode in sparse domain was presented and separation scheme based on sparse domain was proposed. Non-subsampled Contourlet transform and Waveatom transform are respectively used as two type of dictionaries for piecewise cartoon and texture image. Then the permuting image can be separated from permuted alias image by morphological component
doi:10.14257/ijsip.2015.8.11.11
fatcat:mrlcc4h6izfxjg2n2zmwk2wb4i