Laser & Optoelectronics Progress, Volume. 57, Issue 16, 161010(2020)
Underwater Image Enhancement Algorithm Based on Fusion of High and Low Frequency Components
Fig. 2. Extraction results of original images. (a) Original images; (b) reflection components; (c) incident components
Fig. 3. Comparison of stretching images by using CLAHE algorithm. (a) Images before contrast stretching; (b) images after contrast stretching
Fig. 4. Images of guided filtering after noise removal. (a) Reflection component after stretching; (b) guided filtering images after noise removal
Fig. 5. Results of extracting details by Gaussian difference. (a) High frequency information of images; (b) details of high frequency information; (c) low frequency information of images; (d) details of low frequency information
Fig. 6. Fusion results of high and low frequency information. (a) Original images; (b) fused images
Fig. 7. Contrast before and after color compensation. (a) Images before color compensation; (b) images after color compensation
Fig. 8. Color-corrected images with different D values. (a) Original image; (b) 1.4; (c) 1.6; (d) 1.8; (e) 2.0; (f) 2.2
Fig. 9. Color recovery test. (a) Standard color palette; (b) original images; (c) Ref. [10]; (d) Ref. [12]; (e) Ref. [14]; (f) Ref. [15]; (g) proposed algorithm
Fig. 10. Different underwater image clearing algorithms process results. (a) Original images; (b) Ref. [10]; (c) Ref. [12]; (d) Ref. [14]; (e) Ref. [15]; (f) proposed algorithm
Fig. 11. Application test results. (a) Original images; (b) Ref. [10]; (c) Ref. [12]; (d) Ref. [14]; (e) Ref. [15]; (f) proposed algorithm
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Peiyu Zou, Weidong Zhang, Jinyu Shi, Jingchun Zhou. Underwater Image Enhancement Algorithm Based on Fusion of High and Low Frequency Components[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161010
Category: Image Processing
Received: Dec. 4, 2019
Accepted: Jan. 6, 2020
Published Online: Aug. 5, 2020
The Author Email: Weidong Zhang (zwd@dlmu.edu.cn)