Research Article
DSP Implementation of Wavelet Transform Based Embedded Block Coder Using Quadtree Partitioning Method
@INPROCEEDINGS{10.1007/978-3-642-27308-7_40, author={Deepali Ladhi and Richa Khandelwal}, title={DSP Implementation of Wavelet Transform Based Embedded Block Coder Using Quadtree Partitioning Method}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Engineering. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part II}, proceedings_a={CCSIT PATR II}, year={2012}, month={11}, keywords={Image compression Discrete Wavelet Transform (DWT) Quadtree Partitioning TMS320C6713 DSK Board PSNR MSE}, doi={10.1007/978-3-642-27308-7_40} }- Deepali Ladhi
Richa Khandelwal
Year: 2012
DSP Implementation of Wavelet Transform Based Embedded Block Coder Using Quadtree Partitioning Method
CCSIT PATR II
Springer
DOI: 10.1007/978-3-642-27308-7_40
Abstract
This paper work describes the implementation of embedded block coder for still image compression using only quad-tree partitioning method. This technique is based on Discrete Wavelet Transform. The motivation behind this work is from SPECK (Set Partitioning Embedded bloCK) algorithm. It uses a recursive set-partitioning procedure to sort subsets of wavelet coefficients by maximum magnitude with respect to thresholds that are integer powers of two. The proposed method simplifies the complexity of the embedded wavelet image coding algorithm by combining both sorting pass and refinement pass. In comparison with other methods, this is simpler to be realized on hardware and has higher compression efficiency. This paper work also explains the software and hardware implementation by using TMS320C6713 DSK board. The statistical analysis is done with profile statistic available in Code Composer Studio (CCS) environment. The MATLAB simulation results show that PSNR values are quite improved by lowering threshold values.