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Constant increasing of visual information necessitates most efficient image compression schemes for saving storage space or reducing required transmission bandwidth. In compressing a class of images, such as a fingerprint database, facial images of an organization or MR images of a hospital, overall information redundancy is increased and compression becomes more significant. In this paper, image...
In this paper a new image compression scheme using redundant dictionary and sparse coding is proposed. Unlike other sparse coding schemes which use just one dictionary we employ multiple specific dictionaries for compressing a class of facial images. The recursive least square dictionary learning algorithm, RLS-DLA, is used to design the adaptive dictionaries, each tuned to an interval of target compression...
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