Abstract
Time has become a crucial issue in today’s lifestyle and to keep up the pace with the world we need to come up with technologies that can process things faster. With high speed technology in image processing industry, the demand of good quality data is increasing rapidly. The usage of image and streaming of video on internet have increased exponentially. In addition, more storage capacity and more bandwidth as HD (High Density) image and video have become more and more popular. In this project, mainly I demonstrated two different methods of image compression DCT based image compression and WAVELET based image compression on JPEG2000 image standard. I designed DCT based image compression and WAVELET based image compression codes in matlab and compared their results. After that, I implemented the wavelet algorithm using C and C# in visual studio to verify the design. Finally I implemented the same algorithm on TI’s digital signal processing board EVM320DM6437, based on C language. In addition, for implementing discrete wavelet transform on EVM320DM6437 board, I captured the image frame from a video signal. Then, I extracted the Y components of the image. Then I used Code Composer Studio software to implement the code written in C language to successful display the compression result on Television.