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Enhancement of DCT-Based Image Compression Using Trigonometric Functions

机译:使用三角函函数来增强基于DCT的图像压缩

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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.
机译:随着该千年多媒体的爆炸使用,图像压缩对信息技术用户来说是必不可少的。这是一类技术,这些技术可以有效地存储和传输图像,同时保持最佳质量。几种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响应压缩问题。在本文中,我们提出了一种方法,该方法使用三角函数与着名的DCT变换相结合。我们的宗旨是利用ArcSine Reductive属性,并探索更好地获得更多压缩。我们的实验结果表明,对原始DCT的显而易见。此外,我们的方法胜过了关于压缩比以及PSNR的JPEG和JPEG2000。

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