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TITLE : IMAGE COMPRESSION ALGORITHM USING SEAM IDENTIFICATION AND SPIHT  
AUTHORS : Sudhakar.M      B.Gowri Sankaran      Subha Austalekshmi.T.V       
ABSTRACT :

The work presented in this paper addresses the growing command of illustration signal delivery to terminal with uninformed resolutions, without grave computational trouble to the receiving end. In this paper, the attitude of seam carving is included into a wavelet codec (i.e., SPIHT). On behalf of each input image, block-based seam energy map is made to grown in the pixel domain and the curvelet transform is performed for the retargeted image. Unlike from the predictable wavelet-based coding schemes, curvelet coefficients here are grouped and encoded according to the resultant seam energy map. Finally, the bit stream is transmitted in energy sliding order. At the decoder side, the end user has the definitive choice for the spatial scalability without the need to observe the visual content; an image with arbitrary aspect ratio can be reconstructed. The simulation result will prove that proposal technique gives enhanced results compared to wavelet based image compression. 

Key Words: Seam Carving, Spiht, Huffman, Image retargeting. 

 

 
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