Image Compression using Modified Haar Wavelet-Base Vector Quantization

Article Sidebar

PDF
DOI: https://doi.org/10.37936/ecti-cit.200731.54216
Keywords:
Image compression Haar wavelet Vector quantization

Main Article Content

Anusorn Jitkam
Department of computer Science, Khon Kaen University
Satra Wongthanavasu
Department of computer Science, Khon Kaen University

Abstract

This research presents an image compression algorithm using modified Haar wavelet and vector quantization. For comparison purposes, a standard Haar wavelet with vector quantization and SPIHT, which is used in JPEG2000, are compared with the proposed method using Peak Signal-to-Noise Ratio (PSNR). The proposed method shows better results on average over the compared methods.

Article Details

How to Cite
[1]
A. Jitkam and S. Wongthanavasu, “Image Compression using Modified Haar Wavelet-Base Vector Quantization”, ECTI-CIT Transactions, vol. 3, no. 1, pp. 72–76, Apr. 2016.
Issue
Vol. 3 No. 1 (2007): ECTI Transaction on CIT (May 2007)
Section
Artificial Intelligence and Machine Learning (AI)