• Jyoti

Image compression is a process that allow the reduction of data without reducing the quality of image. The storage and transfer of compressed data is faster as compared to uncompressed data. The main objective of compression is to minimize the number of bits required to represent an image or video sequence. In the wavelet domain, for compression the embedded coder technique such as SPITH (set partitioning in hierarchical tree) and SPECK (set partitioning embedded block coder) is very simple and efficient algorithm. For this purpose MATLAB. To achieve high compression ratio and PSNR, a set partitioning in embedded block coder technique is used. SPECK uses zero block of image instead of zero trees used in SPITH. This technique is best suited for large size data as compared to the EZW (embedded zero tree wavelet) and SPITH. It is faster in encoding because of its encoding simplicity. With the use of this algorithm we find out different parameter such as PSNR (peak signal to noise ratio), CR (compression ratio), MSE (mean square error), and BPP(bit per pixel). By calculating these performance parameter, can be analyze by the comparison among these technique. This algorithm achieve the same visual quality and less encoding and decoding time at lower bit rate than that of SPITH.

EZW, SPITH, SPECK, PSNR, MSE, CR, MATLAB

"IMAGE COMPRESSION USING SPECK TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.177-182, September-2018, Available :http://www.jetir.org/papers/JETIR1809174.pdf

"IMAGE COMPRESSION USING SPECK TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp177-182, September-2018, Available at : http://www.jetir.org/papers/JETIR1809174.pdf