利用三角函数增强基于dct的图像压缩

Mohammed Lotfi Hachemi, M. Omari, Mekki Baroudi
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引用次数: 2

摘要

随着本世纪多媒体的爆炸式使用,图像压缩成为信息技术用户必不可少的工具。它是一类技术,来有效地存储和传输图像,同时保持最好的质量。一些软件和方法通过在压缩比和重建图像质量之间保持良好的平衡来应对这个压缩问题。在本文中,我们提出了一种将三角函数与著名的DCT变换相结合的方法。我们的目的是利用反正弦的约化性质,更好地探索它,以获得更大的压缩。我们的实验结果显示,与原始DCT相比,图像有了明显的增强。此外,我们的方法在压缩比和PSNR方面优于JPEG和JPEG2000。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of DCT-Based Image Compression Using Trigonometric Functions
With the explosion use of multimedia in this millennium, image compression became indispensable for information technology users. It is a class of techniques that comes to efficiently store and transmit images while maintaining the best possible quality. Several software and methods respond to this problem of compression by maintaining a good balance between compression ratio and reconstructed image quality. In this paper, we present an approach that uses trigonometric functions combined with the famous DCT transform. Our aim is to utilize the arcsine reductive property and explore it better to gain more compression. Our experimental results showed a clear enhancement over the original DCT. Moreover, our method outperforms JPEG and JPEG2000 regarding compression ratio as well as the PSNR.
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