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High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique

Manjusha Gulabrao Kulthe1 , Priyanka Jaiswal2 , Bharti Chourasia3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 225-229, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.225229

Online published on Jun 30, 2019

Copyright © Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia, “High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.225-229, 2019.

MLA Style Citation: Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia "High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique." International Journal of Computer Sciences and Engineering 7.6 (2019): 225-229.

APA Style Citation: Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia, (2019). High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique. International Journal of Computer Sciences and Engineering, 7(6), 225-229.

BibTex Style Citation:
@article{Kulthe_2019,
author = {Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia},
title = {High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {225-229},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4535},
doi = {https://doi.org/10.26438/ijcse/v7i6.225229}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.225229}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4535
TI - High Quality Color Image Compression using DWT and Multi-level Block Partition Encoding-Decoding Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Manjusha Gulabrao Kulthe, Priyanka Jaiswal, Bharti Chourasia
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 225-229
IS - 6
VL - 7
SN - 2347-2693
ER -

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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 and compression scheme is more critical with the recent growth of computer applications. Among the various spatial domain image compression techniques, multi-level Block partition Coding (ML-BTC) is one of the best methods which has the least computational complexity. The parameters such as Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are measured and it is found that the implemented methods of BTC are superior to the traditional BTC. This paves the way for a nearly error free and compressed transmission of the images through the communication channel.

Key-Words / Index Term

Multi-level Block Truncation Code (ML-BTC), Bit Map, Multi-level Quantization (MLQ), Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE)

References

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