Vector quantization using the improved differential evolution algorithm for image compression

Vector quantization (VQ) is a popular image compression technique with a simple decoding architecture and high compression ratio. Codebook designing is the most essential part in vector quantization. Linde–Buzo–Gray (LBG) is a traditional method of generation of VQ codebook which results in lower PS...

Full description

Saved in:

Bibliographic Details
Published in:	Genetic programming and evolvable machines Vol. 20; no. 2; pp. 187 - 212
Main Author:	Nag, Sayan
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.06.2019 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Biomedical Engineering and Bioengineering Boundary control Compilers Compression ratio Computer Science Computing time Decoding Electrical Engineering Evolutionary algorithms Evolutionary computation Image compression Image enhancement Image quality Image reconstruction Interpreters Optimization Optimization techniques Programming Languages Programming Techniques Scaling factors Software Engineering/Programming and Operating Systems Vector quantization Bat algorithm (BA) Codebook Vector quantization Improved differential evolution (IDE) algorithm Improved particle swarm optimization (IPSO) algorithm Image compression Firefly algorithm (FA) Linde–Buzo–Gray (LBG) algorithm
ISSN:	1389-2576, 1573-7632
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!