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dc.contributor.authorSenapati, R K-
dc.contributor.authorPati, U C-
dc.contributor.authorMahapatra, K K-
dc.identifier.citationInternational Conference on Devices and communications (ICdeCOM -11), February 24-25, 2011, Birla Institute of Technology, Mesra, Indiaen
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractThis paper presents a Discrete Tchebichef Transform (DTT) based hybrid embedded coder for image compression applications. In this coder, DTT is coupled with Set partitioning in hierarchical coding techniques (SPIHT). Further, human visual system (HVS) with appropriate perceptual weights are applied to improve the perceptual quality of the reconstructed image. The compression and image reconstructon performance is compared with some the state-of-the-art coders in the literature. Extensive simulations on various kinds of images shows convincingly that, the proposed coder outperforms most of the coders.en
dc.format.extent354687 bytes-
dc.subjectDiscrete Tchebichef Transformen
dc.subjectDiscrete Cosineen
dc.subjectImage Compressionen
dc.subjectEmbedded Coderen
dc.subjectHuman Visual systemen
dc.titleA Novel Hybrid HVS Based Embedded Image Coding Algorithm Using DTT and SPIHTen
Appears in Collections:Conference Papers

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