Article,
Image Compression using WDR & ASWDR Techniques with different Wavelet Codecs
International Journal on Information Technology IJIT, 1 (2): 4 (September 2011)
Abstract
In this paper, two different Wavelet based Image
Compression techniques are compared. The techniques
involved in the comparison process are WDR and ASWDR.
The above two techniques are implemented with different
types of wavelet codecs. Wavelet difference reduction (WDR)
has recently been proposed as a method for efficient embedded
image coding. This method retains all of the important features
like low complexity, region of interest, embeddedness, and
progressive SNR. ASWDR adapts the scanning procedure used
by WDR in order to predict locations of significant transform
values at half thresholds. Here, there are two types of Wavelet
transforms are applied on the images before compression.
They are DD 2+2,2 Integer Wavelet transform and Daub 9/7
Wavelet transform. The quality of the reconstructed images
is calculated by using three performance parameters PSNR,
MSE and SNE values. The images yield high PSNR values
and low MSE values.
