Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2018.05a
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- Pages.107-110
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- 2018
Understanding on the Principle of Image Compression Algorithm Using on the DCT (discrete cosine transform)
이산여현변환을 이용한 이미지 압축 알고리즘 원리에 관한 연구
- Nam, Soo-tai (Wonkwang University (Institute of Convergence and Creativity)) ;
- Kim, Do-goan (Wonkwang University (Institute of Convergence and Creativity)) ;
- Jin, Chan-yong (Wonkwang University (Institute of Convergence and Creativity)) ;
- Shin, Seong-yoon (Kunsan National University)
- Published : 2018.05.31
Abstract
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. It is widely used in image compression. First, the image is divided into 8x8 pixel blocks. Apply the DCT to each block while processing from top to bottom from left to right. Each block is compressed through quantization. The space of the compressed block array constituting the image is greatly reduced. Reconstruct the image through the IDCT. The purpose of this research is to understand compression/decompression of images using the DCT method.
이미지 압축은 디지털 이미지를 데이터 압축을 적용하는 과정이다. 이산여현변환은 시간 도메인에서 주파수 도메인으로 변환하는 기술이며, 이미지 압축에 널리 사용된다. 먼저, 이미지는