Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)

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Color Image Compression Based on Contrast Sensitivity with Quality Factor

Authors
A. Christoper Tamilmathi1, *, P. L. Chithra2
1Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research (Deemed to Be University), Chennai, Tamil Nadu, 600 116, India
2Department of Computer Science, University of Madras, Chennai, Tamil Nadu, 600 025, India
*Corresponding author. Email: actamilmathi@gmail.com
Corresponding Author
A. Christoper Tamilmathi
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-196-8_29How to use a DOI?
Keywords
Adaptive block quantization table; Cluster; Contrast sensitivity; JPEG; Lossy color image compression; Quality factor
Abstract

This paper presents an innovative lossy color image compression based on contrast sensitivity of human visual perception, in which the image contrast sensitivity value (CSV) of each block is determined from Symmetric Gaussian function (SG). Then the outcome of SG is grouped using K-Medoid (KM) cluster to define the adaptive block quantization table (ABQT) for each block in order to provide better quality reconstructed image with good compression ratio (CR). Our experimental result shows that the observed CR is averagely increased by 3 times and visual quality is averagely increased by 9.9% than the existing algorithms namely traditional JPEG and JPEG with contrast sensitivity technique. The tabulated results indicate that proposed methodology out performs very well with the structural content of natural color test images.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
Series
Advances in Intelligent Systems Research
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-196-8_29
ISSN
1951-6851
DOI
10.2991/978-94-6463-196-8_29How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Christoper Tamilmathi
AU  - P. L. Chithra
PY  - 2023
DA  - 2023/08/10
TI  - Color Image Compression Based on Contrast Sensitivity with Quality Factor
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 382
EP  - 399
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_29
DO  - 10.2991/978-94-6463-196-8_29
ID  - ChristoperTamilmathi2023
ER  -