Title : 
Proposed Texture Compression Algorithm Based on Fractal Wavelet Theory
         
        
            Author : 
Sankaragomathi, B. ; Ganesan, L. ; Arumugam, S.
         
        
            Author_Institution : 
Nat. Engg Coll., Kovilpatti
         
        
        
        
        
        
        
            Abstract : 
The proposed texture compression algorithm is based on a block-wise approach, where each block is subjected to the modified fractal compression method and is partly represented by Haar wavelet or Laplacian pyramid. In our new method, the advantage of the local fractal compression algorithm is taken for 4*4 blocks compressed independently. To overcome the problem of quad tree structure, we use regular partitioning of compressed block to 2*2 range blocks R. The local domain pool for compressed block consists of only one domain block being the whole compressed block D = B. The resulting fractal code is subjected to further compression using Haar wavelet or Laplacian Pyramid.
         
        
            Keywords : 
Haar transforms; Laplace transforms; data compression; fractals; image texture; wavelet transforms; Haar wavelet; Laplacian pyramid; block-wise approach; fractal compression method; fractal wavelet theory; quad tree structure; texture compression algorithm; Compression algorithms; Educational institutions; Fractals; Hardware; Image coding; Image storage; Laplace equations; Surface reconstruction; Surface texture; Vector quantization;
         
        
        
        
            Conference_Titel : 
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
         
        
            Conference_Location : 
Sivakasi, Tamil Nadu
         
        
            Print_ISBN : 
0-7695-3050-8
         
        
        
            DOI : 
10.1109/ICCIMA.2007.212