ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Discrete Wavelet Transform (DWT) with Two Channel Filter Bank and Decoding in Image Texture Analysis

Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 4)

Publication Date:

Authors : ;

Page : 391-397

Keywords : Discrete Wavelet Transform (DWT); Digital Image Processing (DIP); Texture Analysis;

Source : Downloadexternal Find it from : Google Scholarexternal


With the expansion of transmission technology over the last two decades, the demand for digital information increases dramatically. The advances in technology have created the utilization of digital image prevailing to an outsized extent. Still images are widely used in application like medical and satellite images. Digital image are comprised of an enormous amount of data. Reduction in the size of image data for both storing and transmission of digital images are becoming increasingly important as they find more application. Image extraction is a mapping from a higher dimensional space to a lower dimensional space. Image extraction play important role in many multimedia application, such as image storage and transmission. The basic goal of image extraction is to extract image data with minimum number of bits of an acceptable image quality. The paper focuses on the Discrete Wavelet Transform (DWT) with two Channel Filter Bank & Decoding in Image Texture Analysis. The work is carried out in MATLAB 13.0 image processing tool and simulated results are tested on colour document images.

Last modified: 2014-05-07 14:56:53