The week's pick
Reseach Article
A Review of Image Compression Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 142 - Number 1 |
| Year of Publication: 2016 |
| Authors: Rajandeep Kaur, Pooja Choudhary |
10.5120/ijca2016909658
|
Rajandeep Kaur, Pooja Choudhary . A Review of Image Compression Techniques. International Journal of Computer Applications. 142, 1 ( May 2016), 8-11. DOI=10.5120/ijca2016909658
Abstract
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.
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