Image compression technology based on picture complexity and blocked graded wavelet transform

Wuyun Wang; Zheng Li

doi:10.1117/12.2624717

13 December 2021 Image compression technology based on picture complexity and blocked graded wavelet transform

Wuyun Wang, Zheng Li

Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120871X (2021) https://doi.org/10.1117/12.2624717
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China

Abstract

In order to make a trade-off between the ratio of compressed images and the sparsity of high-frequency coefficients, and optimize the wavelet transform image compression method, this paper proposes a blocked graded wavelet image compression method based on image complexity detection. Based on the image characteristics, the block complexity detection is defined. The row and column complexity map of the compressed image is calculated by color difference, and the decision of wavelet classification is made according to the content of the block. Through the system test, the blocked graded wavelet image compression has made a good choice among compression ratio, compressed image quality and wavelet high frequency coefficient sparsity.

Citation Download Citation

Wuyun Wang and Zheng Li "Image compression technology based on picture complexity and blocked graded wavelet transform", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120871X (13 December 2021); https://doi.org/10.1117/12.2624717

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