LSCIC Pre Coder for Image and Video Compression

Abstract

Image and video compression schemes are implemented for the optimum reconstruction of image with respect to speed and quality. LSCIC (Layered Scalable Concurrent Image Compression) pre coder is introduced here to utilize best available resources to obtain reasonable good image or video even at low band width of the system. This pre coder will make the layers of input data whether video or image and after synchronization send it to the output of pre coder on two different layers at the same time. Prior to understand image compression issue it is more important to become familiar with different image standard formats under usage for certain application. Mainly they include JPEG, GIF, and TIFF etc. Image compression scenario is the main entity to be included in the dissertation as per our project requirement. A new idea for scalable concurrent image compression is introduced which gives superior image reconstruction performance as compare to existing techniques. The verification can be done by calculating gray level and PSNR of reconstructed image. The bit stream is required to be compressed for image data transfer if the main system requirement is the memory saving and fast transformation with little sacrifice in the quality of image for lossy compression scheme. A valuable study is accomplished by K Shen, 1997 for parallel implementation of image and video compression. It is suggested that an ideal algorithm should have a low compressed data rate, high visual quality of the decoded image/video and low computational complexity. In hardware approaches special parallel architectures can be design to accelerate computation suggested by R. J. Gove(1994) and Shinji Komori (1988) et al. Parallel video compression algorithms can be implemented using either hardware or software approaches as proved by V. Bhaskaran (1995). These techniques provided the guidelines to deal with digital image compression schemes fro speed and complexity point of view. For video compression, motion estimation phenomenan has its own importance and different techniques are already presented to have motion estimation to get good quality image. Decoding is considered as first step of compression followed by encoding at receiving end of image and reconstruction side. Intermediate step in data/image and video compression is the transform. Different transform techniques have been used depending upon application. 20