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Enhancement of DCT-Based Image Compression Using Trigonometric Functions

机译:使用三角函数增强基于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:在这个千年中,随着多媒体的爆炸式增长,图像压缩对于信息技术用户来说是必不可少的。这是一类技术,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率和重建的图像质量之间保持良好的平衡来解决该压缩问题。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还原特性,并更好地探索它以获得更多压缩。我们的实验结果表明,与原始DCT相比有明显的增强。此外,在压缩率和PSNR方面,我们的方法优于JPEG和JPEG2000。

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