DSP Implementation of Lattice Vector Indexing for Image Compression

Image-related interactions are forming an increasingly large part of modern communications, bringing the need for efficient and effective compression. Image compression is important for effective storage and transmission of images. Image processing applications are increasingly being done on embedded systems because image processing involves high computation and data requirements. This paper work describes the implementation of indexing of vectors quantized using lattice structure on TMS320C6713 Digital Signal Processor board. In this work for quantization of vectors D4 lattice structure is selected. The proposed indexing technique is based on direct assignment of indices to the vectors. Generation of the codebook and the indexing of leader are not required in this method . The code is written in C in Code Composer Studio (CCS) in order to program the DSP processor. With the help of profile statistic available in CCS, statistical analysis is also carried out.