NDLI: The Performances Analysis of Fast Efficient Lossless Satellite Image Compression and Decompression for Wavelet Based Algorithm

Content Provider	Springer Nature Link
Author	Muthukumaran, N. Ravi, R.
Copyright Year	2014
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.
Starting Page	839
Ending Page	859
Page Count	21
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	81
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2014-11-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Satellite communication Image compression Wavelet transform Filters Image decompression Compression ratio Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Hardware Implementation of Architecture Techniques for Fast Efficient Lossless Image Compression System

Satellite image compression by concurrent representations of wavelet blocks

Transform and lzma for compression and decompression of document images.

Lossy Image Compression Using Multiwavelet Transform for Wireless Transmission

A Fast GLONASS FDMA Acquisition Algorithm Using Multi-Satellite Search Strategy

An Efficient Transceiver Scheme for SC-FDMA Systems Based on Discrete Wavelet Transform and Discrete Cosine Transform

Effect on Speech Compression by Combined Delta Encoding and Huffman Coding Scheme

Forward Adaptive Logarithmic Quantizer with New Lossless Coding Method for Laplacian Source

An Efficient Low Complexity Transform for DCT-OFDM Based Wireless Communication System

The Performances Analysis of Fast Efficient Lossless Satellite Image Compression and Decompression for Wavelet Based Algorithm

Similar Documents

Hardware Implementation of Architecture Techniques for Fast Efficient Lossless Image Compression System

Satellite image compression by concurrent representations of wavelet blocks

Transform and lzma for compression and decompression of document images.

Lossy Image Compression Using Multiwavelet Transform for Wireless Transmission

A Fast GLONASS FDMA Acquisition Algorithm Using Multi-Satellite Search Strategy

An Efficient Transceiver Scheme for SC-FDMA Systems Based on Discrete Wavelet Transform and Discrete Cosine Transform

Effect on Speech Compression by Combined Delta Encoding and Huffman Coding Scheme

Forward Adaptive Logarithmic Quantizer with New Lossless Coding Method for Laplacian Source

An Efficient Low Complexity Transform for DCT-OFDM Based Wireless Communication System

The Performances Analysis of Fast Efficient Lossless Satellite Image Compression and Decompression for Wavelet Based Algorithm