Second-order image restoration based on gated convolution and attention transfer

序号	操作类型	输出通道数	步长	扩张率	参数量	序号	操作类型	输出通道数	步长	扩张率	参数量
1	卷积	32	1	2	4 032	12	扩张卷积	256	1	16	590 080
2	卷积（下采样）	64	2	1	18 496	13	卷积	256	1	1	590 080
3	卷积	64	1	1	36 928	14	卷积	256	1	1	590 080
4	卷积（下采样）	128	2	1	73 865	15	卷积	128	1	1	295 040
5	卷积	128	1	1	147 584	16	卷积	128	1	1	147 584
6	卷积（下采样）	256	2	1	295 168	17	卷积	64	1	1	73 792
7	卷积	256	1	1	590 080	18	卷积	64	1	1	36 928
8	卷积	256	1	1	590 080	19	卷积	32	1	1	18 464
9	扩张卷积	256	1	2	590 080	20	卷积	64	1	1	4 624
10	扩张卷积	256	1	4	590 080	21	卷积	3	1	1	435
11	扩张卷积	256	1	8	590 080

Table 2. Objective effect comparison of image restoration

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Table 2. Objective effect comparison of image restoration

Mask	Image restoration method	MAE/%	MSE/%	SSIM/%	PSNR/dB
32×32	GMCNN	1.672	0.132	98.72	36.04
	DeepFill v2	1.879	0.194	98.02	30.26
	HCGCI-Net	1.681	0.132	98.96	37.14
	CA	1.539	0.116	98.92	36.24
	PEN	1.551	0.117	98.88	36.27
	Ours	1.651	0.125	99.09	38.94
32×64	GMCNN	1.697	0.125	98.27	35.71
	DeepFill v2	2.086	0.293	96.59	27.09
	HCGCI-Net	1.705	0.125	98.40	37.27
	CA	1.587	0.114	98.27	35.11
	PEN	1.607	0.119	98.24	35.44
	Ours	1.664	0.122	98.69	38.17
64×128	GMCNN	2.086	0.194	94.67	29.10
	DeepFill v2	2.241	0.674	88.57	21.37
	HCGCI-Net	2.136	0.178	95.04	29.84
	CA	2.014	0.170	94.42	29.44
	PEN	2.063	0.190	94.58	28.79
	Ours	1.974	0.160	95.41	30.42
128×128	GMCNN	2.052	0.350	89.73	25.18
	DeepFill v2	5.27	1.82	78.91	17.22
	HCGCI-Net	2.673	0.248	90.66	27.02
	CA	2.759	0.278	90.58	26.32
	PEN	3.043	0.372	89.86	25.16
	Ours	1.254	0.136	92.13	28.50

Table 3. Objective effect comparison of ablation experiment
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Table 3. Objective effect comparison of ablation experiment
MAE/% MSE/% SSIM/% PSNR
第1组 3.333 0.577 87.37 23.22
第2组 3.220 0.385 88.12 25.35
第3组 2.256 0.362 88.27 24.69
第4组 1.526 0.244 89.72 27.18
第5组 2.518 0.244 90.69 27.32
第6组 1.254 0.136 92.13 28.50

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Yan-fei PENG, Li-rui GU, Gang WANG. Second-order image restoration based on gated convolution and attention transfer[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(5): 625

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Paper Information

Category: Research Articles

Received: Aug. 2, 2022

Accepted: --

Published Online: Jul. 4, 2023

The Author Email: Li-rui GU (2220599783@qq.com)

DOI:10.37188/CJLCD.2022-0260

Topics

Table 1. Rough repair network structure

Table 1. Rough repair network structure

Table 2. Objective effect comparison of image restoration

Table 2. Objective effect comparison of image restoration

Table 3. Objective effect comparison of ablation experiment

Table 3. Objective effect comparison of ablation experiment