Title :
A quantitative assesment of image compression parameters and its algorithm
Author :
K Chithra;B. Perumal;M. Pallikonda Rajasekaran;T. Arun Prasath
Author_Institution :
Department of EEE, Kalasalingam University, Virudhunagar, Tamilnadu, India
fDate :
4/1/2015 12:00:00 AM
Abstract :
Image compression has an important role in the area of transmission and stores the lossless image compression. The aim of this project is to increase the image compression ratio and also the PSNR value, compress the large size of images in to small size. When the compression is high to compare the other algorithm of parameters it is a best of image compression algorithm. Thus the meaning of compression is to reduce the size of images. This small size of image files are used to store in the memory disk, and also used to reducing the transmitting time. To compare the parameters of compression algorithm is the SPIHT algorithm is the best algorithm of compression algorithm because it has a high compression ratio.
Keywords :
"Image coding","Algorithm design and analysis","Compression algorithms","Huffman coding","Entropy","Image reconstruction"
Conference_Titel :
Communication Technologies (GCCT), 2015 Global Conference on
DOI :
10.1109/GCCT.2015.7342670