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Effect of Different Block Sizes on the Quality of JPEG-like Compressed Image

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Published:27 July 2019Publication History

ABSTRACT

Discrete Cosine Transform (DCT) is a common method in image compression processing. In this method, the original image is first divided into several blocks for processing, and then the information of each pixel is converted to frequency coefficients, and a certain high frequency component is discarded, thus the image is lossy compressed. In this paper, the effect of block sizes on the quality of decompressed image is studied, so as to find out the optimal block sizes. Firstly, we make a theoretical analysis, and then verify my analysis results through experiment. In the experiment, the block sizes range from 1x1 to 512x512. We use different metrics to evaluate the image quality, including MSE, PSNR and SSIM.

References

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  1. Effect of Different Block Sizes on the Quality of JPEG-like Compressed Image

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      cover image ACM Other conferences
      AIVR 2019: Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality
      July 2019
      80 pages
      ISBN:9781450371612
      DOI:10.1145/3348488

      Copyright © 2019 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 July 2019

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