利用遗传算法优化乳房x光图像压缩

Q4 Engineering

Majlesi Journal of Electrical Engineering Pub Date : 2010-08-04 DOI:10.1234/MJEE.V4I3.222

Aynaz Besharat, E. Fatemizadeh

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引用次数: 1

摘要

在这项研究中，我们创建了一个优化的基于感兴趣区域(ROI)的JPEG2000图像压缩算法用于乳房x线照片压缩。第一步是执行标准的JPEG2000算法。第二步从小波变换的类型、小波变换的分解层次数和乳腺图像压缩量化表等方面对算法进行优化。同时尽量不破坏图像中的诊断信息，保持较高的峰值信噪比。我们获得了高达165:1的高压缩比，PSNR=47.96dB，显著高于之前的研究结果。下一步，我们修改了优化的图像压缩算法，以压缩具有一个方形ROI的乳房x光片，这样我们就可以无损地压缩ROI。在获得高总压缩比的同时，保留了重要的医学诊断信息。在以往基于ROI的8bpp乳房x片压缩研究中，ROI大小占整个图像的5%和15%时，ROI无损压缩的最高总CR分别为32:1和12:1，本研究将其提高到49.9:1和21.33:1。

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USING GENETIC ALGORITHM FOR OPTIMIZATION OF MAMMOGRAMS IMAGE COMPRESSION

In this study we created an optimized Region Of Interest (ROI) based JPEG2000 image compression algorithm for mammograms compression. The first step was to perform the standard JPEG2000 algorithm. The second step was to optimize this algorithm in different aspects which are, the type of wavelet transform, the number of decomposition levels of this transform and the quantization table for mammograms compression. Also we tried not to damage the diagnostic information in the images and keep the Peak Signal to Noise Ratio value, high. We achieved high compression ratios up to 165:1 with PSNR=47.96dB which was significantly higher than the previous results studied. At the next step we modified the optimized image compression algorithm in order to compress the mammograms with one square-shaped ROI in a way that we could compress the ROI losslessly. Therefore we could obtain a high total compression ratio and meanwhile preserve the significant medical diagnostic information. In previous studies on ROIbased 8bpp mammograms compression, the highest total CR for the ROI size of 5% and 15% of the entire image, with lossless ROI compression, were 32:1 and 12:1 respectively these values have been raised up to 49.9:1 and 21.33:1 in this study.

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来源期刊

Majlesi Journal of Electrical Engineering Engineering-Electrical and Electronic Engineering

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： The scope of Majlesi Journal of Electrcial Engineering (MJEE) is ranging from mathematical foundation to practical engineering design in all areas of electrical engineering. The editorial board is international and original unpublished papers are welcome from throughout the world. The journal is devoted primarily to research papers, but very high quality survey and tutorial papers are also published. There is no publication charge for the authors.