JPEG image compression on the Texas Instrument video processing board TMS320DM6437

Project (M.S., Electrical and Electronic Engineering) -- California State University, Sacramento, 2010.Image compression is getting more and more important in the electronic world with increased amount of bandwidth and storage requirement with increase in the image and video usage over internet. Pioneering advances in the image compression algorithms are important. The project discusses various algorithms that are currently available in the commercial market for its advantages and disadvantages. One of them is Joint Photographic Experts Group (JPEG) image compression standard. The final goal of the project was to implement JPEG compression on the TI???s Video development Platform DM6437 DVDP. MATLAB simulation for reading an image in appropriate color space and apply DCT (Discrete Cosine Transform), Quantization, and RLE (Run length encoding) for image compression. For the hardware part of project, Image was captured through camera. DCT, Quantization algorithms was performed on it and tested on the TI???s board EVM320DM6437. \ud I captured the image on the TI???s DSP board and converted it in to the gray scale image. JPEG compression algorithms require few steps like DCT and Quantization to be performed on the image pixel values. These algorithmic steps were written in the C programming language with some advance feature and successful demonstration of the project was presented on the TI???s DSP board EVM320DM6437.Electrical and Electronic Engineerin