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

• 作者: Mohammed Mustafa Siddeq
• 来源期刊: 信号与信息处理(英文)
• 学科: 医学
• 关键词: DWT DCT Minimize-Matrix-Size-Algorithm LSS-Algorithm Eliminate ZEROS and STORE Data
• 年，卷（期）: 2012,（1）
• 页码范围: 51-62
• 页数: 12页
• 分类号: R73

摘要

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.