International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 65 - Number 20 |
Year of Publication: 2013 |
Authors: M. Sundaresan, E. Devika |
10.5120/11039-6279 |
M. Sundaresan, E. Devika . Lossy and Lossless Compression using various Algorithms. International Journal of Computer Applications. 65, 20 ( March 2013), 11-14. DOI=10.5120/11039-6279
An images is an array, or a matrix, of square pixels arranged in columns and rows. A color image has primary colors of red, green and blue. Compound image is combination of text, graphics and pictures. Here, Compression is the process of reducing the amount of data required to represent information. It also reduces the time required for the data to be sent over the Internet or Web pages. Image compression is done on the basis of various lossy and lossless compression algorithms. This research work contains with the preprocessing, macroblock divisions, transformations, quantization and lossy and lossless algorithms are used to compress an image to produce a high compression ratio, less compression time and decompression time and high PSNR value. The performance of these techniques has been compared.