Acta Optica Sinica, Volume. 41, Issue 15, 1501003(2021)
Underwater Image Restoration Based on Non-Uniform Incident Light Imaging Model
Fig. 1. Characteristics of spectra. (a)(c) Reference images; (b)(d) corresponding turbid underwater images; (e)(g) spectra ofreference images after Fourier transforming; (f)(h) spectra of turbid underwater images after Fourier transforming
Fig. 2. Comparisons of filtering windows. (a) Rectangular filtering window; (b) super-pixel segmentation filtering window; (c) transmission coefficient map corresponding to
Fig. 3. Histograms of high-contrast images without color cast. (a1)--(a4) “building2” image; (b1)--(b4) “stream” image
Fig. 4. Images after histogram adjustment. (a1)--(a4) Preliminary restored image; (b1)--(b4) output image
Fig. 5. Flow chart of algorithm
Fig. 6. Experimental results of different algorithms. (a) Original images; (b) RDCP algorithm; (c) IBLA algorithm; (d) algorithm in Ref. [9]; (e) Fusion algorithm; (f) CNN combined with HWD algorithm; (g) proposed algorithm
Fig. 7. Experimental results under different turbidities. (a) Original images; (b) RDCP algorithm; (c) IBLA algorithm; (d) algorithm in Ref. [9]; (e) Fusion algorithm; (f) CNN combined with HWD algorithm; (g) proposed algorithm
Fig. 8. Comparison of numerical results under different turbidities. (a) RMSE index; (b) SSIM index
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Mengzhen Jian, Dan Li, Jianqiu Zhang. Underwater Image Restoration Based on Non-Uniform Incident Light Imaging Model[J]. Acta Optica Sinica, 2021, 41(15): 1501003
Category: Atmospheric Optics and Oceanic Optics
Received: Mar. 4, 2021
Accepted: Jun. 1, 2021
Published Online: Aug. 11, 2021
The Author Email: Li Dan (lidan@fudan.edu.cn)