基于对数函数和像素移位的图像压缩

Mekki Baroudi, M. Omari, Mohammed Lotfi Hachemi
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引用次数: 0

摘要

图像压缩在图像处理中有着广泛的研究领域。它包括最小化图像的字节大小,而不会将质量降低到不可接受的水平。文件大小的减小允许在给定数量的磁盘或内存空间中存储更多的映像。为此,人们提出了许多研究和压缩技术;其中一些在某些领域有效,而在另一些领域却失败了。在本文中,我们提出了一种基于像素移动的对数变换的新方法。该方法采用非均匀量化技术,能够适应不同类型的图像,比现有方法具有更强的鲁棒性。为了评估我们的方法的有效性,我们评估了它在几个基准图像上的性能,并将其与基于离散余弦变换和离散小波变换的最先进方法进行了比较。实验结果表明,我们的方法在被测图像上比现有方法更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image compression based on logarithmic functions and pixels' shifting
Image compression has wide area in image processing researches. It consists of minimizing the size in bytes of an image without degrading the quality to an unacceptable level. The reduction in file size allows more images to be stored in a given amount of disk or memory space. For this reason, many researches and compression techniques have been proposed; some of these have been effective in some areas and failed in others. In this paper, we propose a novel approach based on logarithm transform with pixels shifting. Using a non-uniform quantization technique, this approach can adapt to the type of image, making it more robust than existing methods. To assess the usefulness of our approach, we evaluated its performance on several benchmark images, and compared it to that of state-of-the-art methods based on Discrete Cosine Transform and Discrete Wavelet Transform. Results of these experiments showed our approach to be more accurate than existing methods on the tested images.
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