Fast and Efficient Image Compression Based On Parallel Computing Using MATLAB
Author(s):
Prakash , MSEC Bangalore; Venkateshappa, MSEC, BengaloreKeywords:
Lossy and Lossless compression, DWT, IDWT, Huffman coding, parallel computing, PCTAbstract:
Image compression technique is used in many applications for example, satellite imaging, medical imaging, video where the size of the iamge requires more space to store, in such application image compression effectively can be used. There are two types in image compression techniques Lossy and Lossless comression. Both these techniques are used for compression of images, but these techniques are not fast. The image compression techniques both lossy and lossless image compression techniques are not fast, they take more time for compression and decompression. For fast and efficient image compression a parallel computing technique is used in matlab. Matlab is used in this project for parallel computing of images. In this paper we will discuss Regular image compression technique, three alternatives of parallel computing using matlab, comparison of image compression with and without parallel computing.
Other Details:
| Manuscript Id | : | J4RV1I9005 |
| Published in | : | Volume : 1, Issue : 9 |
| Publication Date | : | 01/12/2015 |
| Page(s) | : | 6-9 |
