Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1879
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dc.contributor.authorDeshlahra, A-
dc.contributor.authorShirnewar, G S-
dc.contributor.authorSahoo, A K-
dc.date.accessioned2013-03-11T11:23:31Z-
dc.date.available2013-03-11T11:23:31Z-
dc.date.issued2013-02-
dc.identifier.citationInternational Conference on Emerging Trends in Computer and Image Processing(ICETCIP), IRD India, 24 February 2013, Bangaloreen
dc.identifier.urihttp://hdl.handle.net/2080/1879-
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractImage compression is process to remove the redundant information from the image so that only essential information can be stored to reduce the storage size, transmission bandwidth and transmission time. The essential information is extracted by various transforms techniques such that it can be reconstructed without losing quality and information of the image. In this paper comparative analysis of image compression is done by three transform method, which are Discrete Cosine Transform (DCT),Discrete Wavelet Transform(DWT) & Hybrid (DCT+DWT) Transform. Matlab programs were written for each of the above method and concluded based on the results obtained that hybrid DWT-DCT algorithm performs much better than the standalone JPEG-based DCT, DWT algorithms in terms of peak signal to noise ratio (PSNR), as well as visual perception at higher compression ratio.en
dc.format.extent748891 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.subjectImage compressionen
dc.subjectDCTen
dc.subjectDWTen
dc.subjectHYBRID (DCT+DWTen
dc.titleA Comparative Study of DCT, DWT & Hybrid (DCT-DWT) Transformen
dc.typeArticleen
Appears in Collections:Conference Papers

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