The Open Cybernetics & Systemics Journal

2013, 7 : 32-38
Published online 2013 October 04. DOI: 10.2174/1874110X01307010032
Publisher ID: TOCSJ-7-32

Lossy Image Compression Using Discrete Wavelet Transform and Thresholding Techniques

V. Alarcon-Aquino , J. M. Ramirez-Cortes , P. Gomez-Gil , O. Starostenko and H. Lobato-Morales
Department of Computing, Electronics and Mechatronics, Sta, Catarina Martir, Cholula, Puebla, 72810, Mexico.

ABSTRACT

Results of lossy image compression using wavelet transforms and several thresholding techniques are presented here. The analyzed image was divided into little sub-images and each one was decomposed in a vector following a Hilbert fractal curve. The wavelet transform was applied to each vector and some of the high frequency components were suppressed based on some threshold criteria. Different levels of wavelet decomposition and wavelet mother functions were assessed. The Huffman coding algorithm was then applied in order to reduce image weight. Simulation results have revealed that high compression ratios were obtained with the mean and the standard deviation thresholding algorithms at different levels of wavelet decomposition.

Keywords:

Discrete wavelet transform, image compression, Hilbert curve.