UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 5 | May 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1906O21


Registration ID:
217584

Page Number

138-143

Share This Article


Jetir RMS

Title

QUALITY IMAGE COMPRESSION USING CABAC AND QUADTREE TECHNIQUES

Authors

Abstract

Image compression is the process of reducing the size of image is known as image compression. There are two mechanisms to compress image. Here the Cabac and Quadtree Techniques are applied to compress the image. Coding of data symbol consists of several stages and a tree data structure is known as quadtree. In quadtree, there are exactly four children in every internal node. Quadtrees has been known as the analog of octrees which are two-dimensional. It has been used for partition of a two-dimensional space. It has been done by recursively subdividing it into four quadrants or regions. There are several researches made in the field of image compression. Such researches are also considered in the chapter. This work would be considered best verified and simulated. It would synthesize CABAC decoding mechanism using Matlab. It would be capable to execute complete CABAC Algorithm as future work. The research work would be beneficial in future time. The result of the research work has proved that the proposed techniques are much better techniques than the traditional.

Key Words

Image Compression, Cabac, Huffman, SBAC PSNR, Quadtree

Cite This Article

"QUALITY IMAGE COMPRESSION USING CABAC AND QUADTREE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.138-143, June 2019, Available :http://www.jetir.org/papers/JETIR1906O21.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"QUALITY IMAGE COMPRESSION USING CABAC AND QUADTREE TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp138-143, June 2019, Available at : http://www.jetir.org/papers/JETIR1906O21.pdf

Publication Details

Published Paper ID: JETIR1906O21
Registration ID: 217584
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 138-143
Country: Sonepat, Haryana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002871

Print This Page

Current Call For Paper

Jetir RMS