Hybrid Codebook Optimization Technique for Vector Quantization to Preserve the Quality of the Decompressed Image-Reference-Cited by-同舟云学术

Hybrid Codebook Optimization Technique for Vector Quantization to Preserve the Quality of the Decompressed Image

Published:2023-08-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON)
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Author:

K Ravikiran H¹,Mohana H S¹,J Jayanth²,Kumar M S Prapulla³,A Deepak H¹

Affiliation:

1. Navkis College of Engineering,Department of Electronics and Communication Engineering,Hassan,Karnataka,India,573217

2. GSSSIETW,Department of Electronics and Communication Engineering,Mysuru,Karnataka,India,570016

3. Malnad College of Engineering,Department of Computer Science Engineering,Hassan,Karnataka,India,573201

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10269798/10269803/10269969.pdf?arnumber=10269969

Reference20 articles.

1. A codebook modification method of vector quantization to enhance compression ratio;dibyendu;High Performance Computing and Networking Select Proceedings of CHSN 2021,2022

2. Performance evaluation of optimization techniques with vector quantization used for image compression;rausheen;Harmony Search and Nature Inspired Optimization Algorithms,2019

3. Bat optimization based vector quantization algorithm for medical image compression;lenin;Nature Inspired Optimization Techniques for Image Processing Applications,2019

4. Vector quantization using whale optimization algorithm for digital image compression;javad;Multimedia Tools and Applications,2022

5. A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization;mohammad;Archives of Computational Methods in Engineering,2023