Zhiyong Tao, Lei Zhang, Sen Lin. Low-Illuminance Texture Image Enhancement Method Based on SCBSO Algorithm[J]. Laser & Optoelectronics Progress, 2019, 56(24): 241002
- Laser & Optoelectronics Progress
- Vol. 56, Issue 24, 241002 (2019)
Fig. 1. Schematic of chromosome structure
Fig. 2. Schematics of chromosome structure before and after mapping. (a) Distribution of gray value of original image; (b) gray value distribution of remapped image; (c) original chromosome structure; (d) remapped chromosome structure
Fig. 3. Flowchart of SCBSO algorithm
Fig. 4. Image enhancement method for simple chromosome structure of SCBSO
Fig. 5. Iterative curves of four algorithms for f 1(x ) function
Fig. 6. Iterative curves of four algorithms for f 2(x ) function
Fig. 7. Image collected in database
Fig. 8. Image extracted in ROI
Fig. 9. Experimental image 1 enhanced by different algorithms. (a) Enhanced image of original image; (b) image enhanced by BSO; (c) image enhanced by GA; (d) image enhanced by SCBSO
Fig. 10. Gray histograms of images enhanced by different algorithms. (a) Gray histogram of original image; (b) gray histogram enhanced by BSO; (c) gray histogram enhanced by GA; (d) gray histogram enhanced by SCBSO
Fig. 11. Experimental image 2 enhanced by different algorithms. (a) Original image; (b) image enhanced by BSO; (c) image enhanced by GA; (d) image enhanced by SCBSO
Fig. 12. Gray histograms of image 2 enhanced by different algorithms. (a) Gray histogram of original image; (b) gray histogram enhanced by BSO; (c) gray histogram enhanced by GA; (d) gray histogram enhanced by SCBSO
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Table 1. Results of benchmark function test
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Table 2. Comparison of function performances of different algorithms
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Table 3. Objective evaluation index of images enhanced by different algorithms
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Table 4. Average indexes of different methods on 40 images
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