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Using Two Levels DWT with Limited Sequential Search Algorithm for Image Compression

Author(s): Mohammed Mustafa Siddeq

Journal: Journal of Biophysical Chemistry
ISSN 2153-036X

Volume: 03;
Issue: 01;
Start page: 51;
Date: 2012;
Original page

Keywords: DWT | DCT | Minimize-Matrix-Size-Algorithm | LSS-Algorithm | Eliminate Zeros and Store Data

In this paper introduce new idea for image compression based on the two levels DWT. The low-frequency sub-band is minimized by using DCT with the Minimize-Matrix-Size-Algorithm, which is converting the AC-coefficients into array contains stream of real values, and then store the DC-coefficients are stored in a column called DC-Column. DC-Column is transformed by one-dimensional DCT to be converted into T-Matrix, then T-Matrix compressed by RLE and arithmetic coding. While the high frequency sub-bands are compressed by the technique; Eliminate Zeros and Store Data (EZSD). This technique eliminates each 8 × 8 sub-matrix contains zeros from the high frequencies sub-bands, in another hands store nonzero data in an array. The results of our compression algorithm compared with JPEG2000 by using four different gray level images.

Tango Rapperswil
Tango Rapperswil

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