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LITERATURE SURVEY OF IMAGE COMPRESSION/ DECOMPRESSION TECHNIQUES FOR SPACE AND TELEHEALTH APPLICATIONS

Authors:
  • S.A. ENGINEERING COLLEGE

Abstract

Image compression refers to convert data of more memory storage to the lesser one. Image data compression becomes foremost method for reducing the data redundancy to save more hardware area and transposal capacity. Image compression techniques are mainly used in space and telehealth applications. Image decompression is to give back the original image; it is an application to get much better image in terms of quality or size and also original image are obtained from their compressed form. Various algorithms for image compression/decompression techniques in previous works for space and telehealth applications are: watermarking algorithm, clusteringbased compression method, improved watershed transform method, Set partitioning in hierarchical trees (SPHIT) algorithm, Discrete wavelet transform (DWT) with Bit plane encoding (BPE), Content based adaptive scanning method, Adaptive lifting DWT and modified SPIHT algorithm. Keywords: image compression, image decompression, DWT with BPE, SPIHT, watermarking, clustering.
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