Analysis of Image Compression Algorithm using DCT

Aman George; Ashish Sahu

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25-Apr-23

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Analysis of Image Compression Algorithm using DCT

Author(s):

Aman George , Shri Shankaracharya Group of Institutions; Ashish Sahu, SSGI

Keywords:

DCT (Discrete Cosine Transform), Image Compression, JPEG, IMAP, IMAQ

Abstract:

Image compression means reducing the size of graphics file, without compromising on its quality. Depending on the reconstructed image, to be exactly same as the original or some unidentified loss may be incurred, two techniques for compression exist. This paper presents DCT implementation because these are the lossy techniques. Image compression is the application of Data compression on digital images. The discrete cosine transform (DCT) is a technique for converting a signal into elementary frequency components. Image compression algorithm was comprehended using Matlab code, and modified to perform better when implemented in hardware description language. The IMAP block and IMAQ block of MATLAB was used to analyse and study the results of Image Compression using DCT and varying co-efficients for compression were developed to show the resulting image and error image from the original images. The original image is transformed in 8-by-8 blocks and then inverse transformed in 8-by-8 blocks to create the reconstructed image. Image Compression is specially used where tolerable degradation is required. This paper is a survey for lossy image compression using Discrete Cosine Transform, it covers JPEG compression algorithm which is used for full-colour still image applications and describes all the components of it.