Abstract:In recent years, the K-SVD algorithm for dictionary learning has been widely used in the field of image processing. The learning algorithm constructs a dictionary consisting of groups of signal atoms derived from a set of images. The sparse linear combination of the signal atoms are used to construct the best possible match based upon the original images. The myriad applications of K-SVD algorithm include reconstruction, compression, denoising, sparse coding, super resolution, and feature extraction. The K-SVD… Show more
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