Enhancement of DCT-based Image Compression using Trigonometric Functions

Abstract

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. There are several software and methods that respond to this problem of compression by maintaining a good balance between compression ratio and reconstructed image quality. In this thesis, we present an approach that uses trigonometric functions combined with the famous DCT transform. Our aim is to best utilize the sine and cosine 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 in terms of compression ratio as well as the PSNR.