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In recent years, principal component analysis (PCA) has attracted great attention in image compression field. However due to the linear nature PCA cannot simultaneously explain the global and local characteristics of the input image. To achieve high compression rate, only a few basis vectors should be used. The fewer the basis vectors used, the more local information is lost. To solve this problem,...
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