Research Paper | Computer Science & Engineering | India | Volume 3 Issue 4, April 2014
Discrete Wavelet Transform (DWT) with Two Channel Filter Bank and Decoding in Image Texture Analysis
Akash Goel
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.
Keywords: Discrete Wavelet Transform DWT, Digital Image Processing DIP, Texture Analysis
Edition: Volume 3 Issue 4, April 2014
Pages: 391 - 397
How to Cite this Article?
Akash Goel, "Discrete Wavelet Transform (DWT) with Two Channel Filter Bank and Decoding in Image Texture Analysis", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20131448, Volume 3 Issue 4, April 2014, 391 - 397
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