Development of image compression function using adaptive discrete cosine transform

Nik Nazerun, Nik Syahariz (2022) Development of image compression function using adaptive discrete cosine transform. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Images compression is a frequent technique that follows the completion of digital image processing. Using transformations, you can reduce the amount of duplication between pixels on an image. In this research paper, I discuss a concept for compressing images utilising MATLAB and fully working in the DCT (Discrete Cosine Transform). The method can be used as a stand-alone image compression tool or as part of a block based DCT compression framework like JPEG. Throughout the paper, the Discrete Cosine Transform (DCT) method for two-dimensional images is described. The proposed image compression methodology produced equivalent or higher performance in several instances when compared to the various JPEG-standards without loss. The general goal is to reduce image size while maintaining good image quality. The DCT performance was outstanding in both the before and after compression processes.

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