Paper Info
Title
The Performances Analysis of Fast Efficient Lossless Satellite Image Compression and Decompression for Wavelet Based Algorithm
Abstract
In recent years the satellite communication has been growing for the development of rapid and efficient techniques for the storage and transmission of satellite images. The science of reducing the number of bits required to represent the image is called image compression. The aim of this paper is to reduce the size of the image, while transmitting the original image. This reduced image is called as compressed image. The compressed image is being transmitted and it is reconstructed in the receiving side so that the compressed image is being decompressed to obtain the original image. And also transmission of such satellite image increases communication accuracy but requires less bandwidth. In most systems, the amount of intimation that the user wishes to communicate or store necessities some form of compression for efficient and reliable use of communication or storage system. Although several well-known compression techniques exist, many of them require computationally intensive algorithm. In addition to that many compression techniques introduce unwanted attribute such as loss of intimation. This is a major problem in satellite imaging where image degradation may be critical. By considering the above, this paper is to use the wavelet to improve the compression ratio as well as visual quality which is implemented by the famous algorithm called sub band coding and decoding algorithm in MATLAB 7.1 software tool.
Year
DOI
Venue
2015
10.1007/s11277-014-2160-x
Wireless Personal Communications: An International Journal
Keywords
Field
DocType
Satellite communication, Image compression, Wavelet transform, Filters, Image decompression, Compression ratio
Feature detection (computer vision),Computer science,Image processing,Real-time computing,Artificial intelligence,Computer vision,Data compression ratio,Lossy compression,Algorithm,Data compression,Digital image processing,Image compression,Lossless compression
Journal
Volume
Issue
ISSN
81
2
1572-834X
Citations 
PageRank 
References 
4
0.45
10
Authors
2
Name
Order
Citations
PageRank
N. Muthukumaran170.93
R. Ravi261.17