An Improved Medical Image coding technique based on Seam Identification and SPIHT

This paper proposes an improved medical image compression based on seam identification using integer wavelet transform and near loss- less encoding techniques, image retargeting is generally required at the user end of the mobile multimedia communications. This work addresses the increasing demand of visual signal delivery to terminals with arbitrary resolutions, without heavy computational burden to the receiving end. The block based seam energy map is generated in the pixel domain for each input image and the integer wavelet transform (IWT) is performed on the retargeted image. IWT coefficients here are grouped and encoded according to the resultant seam energy map using SPIHT followed by arithmetic coding. At the decoder side, the end user has the ultimate choice for the spatial scalability without the need to examine the visual content; the received images with an arbitrary resolution preserve important content while achieving high coding efficiency for transmission.

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