Image compression using discrete cosine transform

Mohd Zaim, Aeizal Husna (2020) Image compression using discrete cosine transform. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Image compression is a task frequently conducted after digital image processing is done. It deals with reducing the redundancy between the pixels on image with the help of transforms. I present in this research paper; a concept to compress the image by fully operating in the DCT (Discrete Cosine Transform) using MATLAB. The method can be used as a stand-alone image compression tool, or it can be incorporated into any blockbased DCT compression framework, such as JPEG. That whole paper presents the Lossy Discrete Cosine Transform (DCT) method suggested for two-dimensional pictures. The use of the proposed image compression technique resulted, within many situations, in comparison to the different JPEG-standards without loss, in similar or better performance. The overall purpose is to reduce the image size while retaining efficient image quality. Excellent results of DCT performance have been obtained through before and after compression process

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