Opto-Electronic Engineering, Volume. 51, Issue 6, 240063-1(2024)
A multilayer linear fusion algorithm for endoscopic image enhancement
Figures & Tables(11)
Fig. 2. (a) Origin; (b) Layer1 luminance enhancement algorithm; (c) Layer 2 CLAHE algorithm; (d) Layer 3 linear fusion algorithm
Fig. 3. Comparison of different algorithms for three sets of images (a-c) of Pylorus
Fig. 4. Comparison of different algorithms for three sets of images (a-c) of Retroflex-stomach
Fig. 5. Comparison of different algorithms for three sets of images (a-c) of Z-line
Table 1. The contents of the HyperKvasir partial dataset
View tableView in ArticleTable 1. The contents of the HyperKvasir partial dataset
1st layer 2nd layer 3rd layer No. of images Upper GI Anatomical landmarks Pylorus 999 Retroflex-stomach 764 Z-line 932 Pathological findings Barrett's 41 Barrett's Short Segments 53 Esophagitis Grage-A 403 Esophagitis Grage-B-D 260
Table 2. NIQE
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图像 原始图像 CLAHE GC AGCWD Retinex-Net Zero-DCE ENDOIMLE 本文算法 Pylorus 3.776 3.371 3.762 3.586 3.626 3.893 3.705 3.543 Retroflex 3.538 3.385 3.802 3.569 3.789 4.265 3.628 3.373 Z-line 3.636 3.069 3.273 3.471 3.821 4.523 3.675 3.112
Table 3. PSNR
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图像 CLAHE GC AGCWD Retinex-Net Zero-DCE ENDOIMLE 本文算法 Pylorus 17.18 8.23 13.45 17.61 16.37 14.34 19.43 Retroflex 12.99 9.15 13.91 18.51 17.61 15.41 18.96 Z-line 13.77 9.77 14.98 18.77 18.03 15.45 19.56
Table 4. SSIM
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图像 CLAHE GC AGCWD Retinex-Net Zero-DCE ENDOIMLE 本文算法 Pylorus 0.938 0.655 0.896 0.711 0.787 0.881 0.955 Retroflex 0.893 0.653 0.894 0.778 0.737 0.884 0.936 Z-line 0.913 0.751 0.901 0.793 0.764 0.871 0.946
Table 5. Ablation experiment
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GC (未线性拉伸) 自适应GC 改进CLAHE 本文算法 PSNR 8.56 10.23 15.68 19.55 SSIM 0.579 0.773 0.897 0.948 NIQE 3.785 3.368 3.186 3.246
Table 6. Run time
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算法 CLAHE GC AGCWD Retinex-Net Zero-DCE ENDOIMLE 本文算法 时间/s 40.35 12.18 6.21 3.45 0.01 5.46 4.56
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Shuangyuan Wang, Zhiyuan Yao, Yurong Zhang, Huaiqi Xue, Gengsheng He. A multilayer linear fusion algorithm for endoscopic image enhancement[J]. Opto-Electronic Engineering, 2024, 51(6): 240063-1
Paper Information
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Received: Mar. 18, 2024
Accepted: May. 31, 2024
Published Online: Oct. 21, 2024
The Author Email: Wang Shuangyuan (王双园)
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