Wavelet Based Image Compression and Performance Analysis in TMS320c67X

Abstract

Digital image processing remains a challenging domain of programming for several reasons. First the issue of digital image processing appeared relatively late In computer history, it had to wait for the arrival of the first graphical operating systems to become a true matter. Secondly, digital image processing requires the most careful optimizations and especially for real time applications. Image processing operations can be roughly divided into three major categories, Image Compression, Image Enhancement and Restoration, and Measurement Extraction. Image compression is familiar to most people. IT involves reducing the amount of memory needed to store a digital image. Wavelet is the upcoming technology for the image compression which takes more computations compare to the DCT based image compression, The TMS320C6000 series includes three different type of DSP Chip family. TMS320C62X, TMS320C64X and TMS320C67X family. TMS320C64X is the fixed point DSPs while the TMS320C67Xis a floating point DSP. Both the TMS320C64XX and TMS320C67XX provides the floating point execution but the TMS320C67X provides more efficient floating point execution.