Document Type : Primary Research paper
Ph. D. Scholar, Pacific Academy of Higher Education and Research University, Udaipur (Rajasthan)
Assistant Professor Faculty of management, Pacific Academy of Higher Education and Research University, Udaipur (Rajasthan)
An image compression method eradicates redundant and/or unrelated
information, and resourcefully encodes leftovers. Practically, it is frequently essential to
toss away both non redundant information and relevant information to attain the essential
compression. In any case, the ploy is discovering methods that permit important
information to be resourcefully extracted and represented. This paper copes with dissimilar
compression methods for comprising the information in an image. The information can be
compressed by means of Lossy techniques such as Quantization, transform coding, Block
Transform Coding or Lossless techniques such as Run Length Coding, Lossless Predictive
Coding, Multi-resolution Coding.
All these techniques have been discussed in this paper and the performance of any
technique/method is analyzed on various parameters like MSE and PSNR. General Terms
Lossless Compression, Lossy Compression, Image Formats, Quantization, Entropy coding.