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Survey Paper on Fractal Image Compression using Block Truncation Coding Technique

by Anshu Agrawal, Pushpraj Singh Chauhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 3
Year of Publication: 2018
Authors: Anshu Agrawal, Pushpraj Singh Chauhan
10.5120/ijca2018917486

Anshu Agrawal, Pushpraj Singh Chauhan . Survey Paper on Fractal Image Compression using Block Truncation Coding Technique. International Journal of Computer Applications. 182, 3 ( Jul 2018), 19-22. DOI=10.5120/ijca2018917486

@article{ 10.5120/ijca2018917486,
author = { Anshu Agrawal, Pushpraj Singh Chauhan },
title = { Survey Paper on Fractal Image Compression using Block Truncation Coding Technique },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 182 },
number = { 3 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 19-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number3/29742-2018917486/ },
doi = { 10.5120/ijca2018917486 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:14:58.606474+05:30
%A Anshu Agrawal
%A Pushpraj Singh Chauhan
%T Survey Paper on Fractal Image Compression using Block Truncation Coding Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 3
%P 19-22
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text and image data are important elements for information processing almost in all the computer applications. Uncompressed image or text data require high transmission bandwidth and significant storage capacity. Designing an efficient compression scheme is more critical with the recent growth of computer applications.Modern applications, in addition to high compression ratio, also demand for efficient encoding and decoding processes, so that computational constraint of many real-time applications is satisfied.Two generally utilized spatial area pressure strategies are block truncation coding (BTC) and vector quantization (VQ). BTC strategy brings about great quality picture with high piece rate, while the VQ is notable for low piece rate yet creates low quality pictures.In further work of this paper is multi-level BTC includes BTC algorithm as well as vector quantization method for purpose of multi-leveltechnique for gray and color image.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Block Truncation Code (BTC) PSNR Block Size Compression Ratio

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