基于多通道视觉注意力的模糊图像质量复原算法设计

doi:10.13229/j.cnki.jdxbgxb.20220684

Abstract

Abstract:

In order to improve the imaging quality of the camera and improve the image definition， a fuzzy image quality restoration algorithm based on multi-channel visual attention was proposed. Based on the multi-channel visual attention mechanism， the coding network was constructed. The blurred image is input into the coding network， and the image was restored. At the same time， the ringing detection was introduced in the restoration process to eliminate the ringing area in the restored image and improve the quality and clarity of the restored image. The experimental results show that the proposed algorithm has better effect of de ringing phenomenon， high quality after image restoration， and better application efficiency.

Key words: multi-channel visual attention, blurred image, ringing effect, coding network, image quality restoration

CLC Number:

TP391.41

Feng CHEN,Hao WANG. Design of fuzzy image quality restoration algorithm based on multi⁃channel visual attention[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(9): 2626-2631.

Figures/Tables 6

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Table 1

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References 18

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算法	评价指标	图像a	图像b	图像c	图像d
本文	峰值信噪比/dB	70.6	72.4	71.8	75.3
本文	平均均方误差	0.25	0.24	0.22	0.23
文献［3］	峰值信噪比/dB	61.0	61.1	60.5	60.7
文献［3］	平均均方误差	0.51	0.50	0.53	0.54
文献［4］	峰值信噪比/dB	58.6	57.9	58.2	57.6
文献［4］	平均均方误差	0.46	0.51	0.49	0.53

Design of fuzzy image quality restoration algorithm based on multi⁃channel visual attention

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