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

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DOI: 10.4236/jsip.2012.31008    5,684 Downloads   9,927 Views   Citations

ABSTRACT

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.

Cite this paper

M. Siddeq, "Using Two Levels DWT with Limited Sequential Search Algorithm for Image Compression," Journal of Signal and Information Processing, Vol. 3 No. 1, 2012, pp. 51-62. doi: 10.4236/jsip.2012.31008.

Conflicts of Interest

The authors declare no conflicts of interest.

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