A Survey on Image Compression Techniques

Abstract: Social and network computing demands effective, sharing and saving of image data, which has always been a great challenge. People are sharing, transmitting and storing millions of images every moment. Although, data compression is mostly done to avoid the occupancy of more memory, and enhance capacity of storage devices, production of digital images has been increased proportion. Consequently, the demand of perfect, image compression algorithm is very high which can be used to reduce the resources usage, such as data storage space or transmission capacity. Bhammar M.B. et al, [1]. This document presents the review of various lossless and lossy compression techniques.

Keywords: Chroma subsampling, Transform coding, Fractal Compression, Vector Quantization (V.Q), Block truncation Run length encoding(RLE) , Huffman encoding , LZW coding, Area coding , Arithmetic coding.