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http://dx.doi.org/10.6109/jkiice.2019.23.1.84

Rebuilding of Image Compression Algorithm Based on the DCT (discrete cosine transform)  

Nam, Soo-Tai (Division of Information and Electronic Commerce (Institute of Convergence and Creativity), Wonkwang University)
Jin, Chan-Yong (Division of Information and Electronic Commerce (Institute of Convergence and Creativity), Wonkwang University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.1, 2019 , pp. 84-89 More about this Journal
Abstract
JPEG is a most widely used standard image compression technology. This research introduces the JPEG image compression algorithm and describes each step in the compression and decompression. Image compression is the application of data compression on digital images. The DCT (discrete cosine transform) is a technique for converting a time domain to a frequency domain. First, the image is divided into 8 by 8 pixel blocks. Second, working from top to bottom left to right, the DCT is applied to each block. Third, each block is compressed through quantization. Fourth, the matrix of compressed blocks that make up the image is stored in a greatly reduced amount of space. Finally if desired, the image is reconstructed through decompression, a process using IDCT (inverse discrete cosine transform). The purpose of this research is to review all the processes of image compression / decompression using the discrete cosine transform method.
Keywords
Data compression; Compression algorithm; Quantization; Image; Discrete cosine transform;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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