Hybrid Lossy Predictive-Huffman Coding
| Author(s) | : | Sandip Mehta |
| Institution | : | Department of Electrical and Electronics Engineering, JIET Group of Institutions, Jodhpur |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 399-402 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
In the present world, a huge amount of information is stored, processed and transmitted digitally everymoment through multimedia. Governments, corporates, students, businesses, researchers, and individuals create, obtain,process, store and share a wide variety of data through the internet and other digital media. Considerable amount of thisinformation is graphical or illustrative in nature and uses significant amount of memory. Image compression is the artand science of reducing the amount of data required to represent an image. It is one of the most useful and commerciallyfruitful technologies in the digital image processing domain. Based on the requirement, image compression can belossless or lossy. This paper proposes a hybrid lossy compression technique that exploits the properties of LinearPredictive Coding and the Huffman algorithm, and gives appreciable results on a number of benchmark images
Sandip Mehta, “Hybrid Lossy Predictive-Huffman Coding”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 399-402, November 2017.
