Image coding Techniques in Networking: Review Paper

Abstract

Data coding is the process of reducing redundancy in data representation in order to achieve savings in storage and communication costs. It is a popular approach to reducing data volumes to lower disk utilization and reduce network traffic, hence reduce data transfer times in distributed computing. The research paper is presented and focused on the significant of using data compression in networking as well as its different types of image compression techniques. They are lossless and lossy image compression methods. It explores comparison for some image format such as jpeg, tiff, bmp, png, included algorithms for each formats, each format such as jpeg2000, and the methods are described in details with using figures. It shows the coding types and categories s such as DPCM, entropy coding, Huffman coding, arithmetic coding, LZW, DCT, DWT.