An Improved SHIFT Algorithm For Processing Color Image

 

An Improved SHIFT Algorithm For Processing Color Image

    

ABSTRACT

 

                In  recent years there has been an astronomical increase  in the usage of computers for a variety of tasks. With  the advent of digital  cameras,  one  of  the  most  common  uses  has  been  the storage, manipulation, and transfer  of  digital images. The filesthat comprise these images, however, can be quite large and can quickly take up precious memory space on the  computer’s hard drive. In multimedia application, most of the images are in color. And color images contain lot of  data redundancy and require a large amount of storage space. In this work, we are presenting the performance of different wavelets using SPIHT[1] algorithm for compressing color image. In this R, G and B component of color image  are  converted  to   YCbCr  before  wavelet  transform  is applied. Y is luminance component; Cb and Cr are chrominance components of the image. Lena color image is taken for analysis purpose.  Image  is  compressed  for  different  bits  per  pixel  by changing level of wavelet decomposition. Matlab software is usedfor  simulation.  Results  are  analyzed  using  PSNR  and   HVS property. Graphs are plotted to show the variation  of PSNR for different bits per pixel and level of wavelet decomposition

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