Image Compression With Discrete Cosine Transform (DCT) By Using MATLAB

Nafi, Aliaa Syahirah (2019) Image Compression With Discrete Cosine Transform (DCT) By Using MATLAB. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 Pages) Image Compression With Discrete Cosine Transform (DCT) By Using MATLAB.pdf - Submitted Version Download (328kB)

Abstract

Image compression is the application of data compression on digital images. Image compression can be lossy or lossless. In this paper it is being attempted to implement basic JPEG compression using only basic MATLAB functions. In this paper the lossy compression techniques have been used, where data loss cannot affect the image clarity in this area. Image compression addresses the problem of reducing the amount of data required to represent a digital image. It is also used for reducing the redundancy that is nothing but avoiding the duplicate data. It also reduces the storage area to load an image. For this purpose, we are using JPG. JPG is a still frame compression standard, which is based on, the Discrete Cosine Transform and it is also adequate for most compression applications. The discrete cosine transforms (DCT) is a mathematical function that transforms digital image data from the spatial domain to the frequency domain.

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