A retinex-based enhancing approach for single underwater image

Fu, Xueyang; Zhuang, Pinghui; Huang, Yue; Liao, Yinghao; Zhang, Xiaoping; Ding, Xinghao

doi:10.1109/icip.2014.7025927

Cited by 361 publications

(294 citation statements)

References 15 publications

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“…The state-of-the-art methods used for comparisons include the methods of Ancuti et al, 11 Fu et al, 12 Chiang and Chen, 16 He et al, 17 Carlevaris-Bianco et al, 15 Serikawa and Lu, 19 and Galdran et al. In order to evaluate the performance of the proposed method, qualitative comparison, quantitative comparison, and a color accuracy test are carried out.…”

Section: Resultsmentioning

confidence: 99%

“…ICM method can equalize the contrast of underwater images and address the problem of lighting. Fu et al 12 processed color cast, underexposure, and blurring of underwater imaging using a retinex model and an alternating direction optimization algorithm. Ancuti et al 11 developed a method to enhance the quality of underwater images and videos based on the fusion principle.…”

Section: Related Workmentioning

confidence: 99%

“…Compared with the color-correction algorithm proposed by Fu et al, 12 our color cast removal algorithm is based on the modification of their work. In Fu et al's work, a parameter that controls the saturation of color-corrected underwater image is selected through subjective experiments.…”

Section: Relation To Prior Workmentioning

confidence: 99%

“…Figure 4 shows an example of underwater image color cast. In order to remove color deviation in underwater images, we modified a simple color correction algorithm, 12 which demonstrated that color cast of underwater images can be corrected using a maximum and minimum color deviation stretching algorithm. 4, compared with the standard Color-Checker Chart image, some colors of underwater Color- Checker Chart images disappear and change.…”

Section: Color Cast Removalmentioning

confidence: 99%

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Single underwater image enhancement based on color cast removal and visibility restoration

Guo

Wang

et al. 2016

J. Electron. Imaging

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Single underwater image enhancement based on color cast removal and visibility restoration,"Abstract. Images taken under underwater condition usually have color cast and serious loss of contrast and visibility. Degraded underwater images are inconvenient for observation and analysis. In order to address these problems, an underwater image-enhancement method is proposed. A simple yet effective underwater image color cast removal algorithm is first presented based on the optimization theory. Then, based on the minimum information loss principle and inherent relationship of medium transmission maps of three color channels in an underwater image, an effective visibility restoration algorithm is proposed to recover visibility, contrast, and natural appearance of degraded underwater images. To evaluate the performance of the proposed method, qualitative comparison, quantitative comparison, and color accuracy test are conducted. Experimental results demonstrate that the proposed method can effectively remove color cast, improve contrast and visibility, and recover natural appearance of degraded underwater images. Additionally, the proposed method is comparable to and even better than several state-of-the-art methods. . His research interests include color image processing, document image analysis, and computational photography. Journal of Electronic Imaging 033012-15 May∕Jun 2016 • Vol. 25(3) Li et al.: Single underwater image enhancement based on color cast removal and visibility restoration Downloaded From: http://electronicimaging.spiedigitallibrary.org/ on 06/17/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

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Section: Resultsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Relation To Prior Workmentioning

confidence: 99%

Section: Color Cast Removalmentioning

confidence: 99%

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Single underwater image enhancement based on color cast removal and visibility restoration

Guo

Wang

et al. 2016

J. Electron. Imaging

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“…The enhanced image by (b) He's method[3], (c) Fu's method[4] and (d) our method. Zoomed for better view.…”

mentioning

confidence: 99%

Underwater image enhancement via dark channel prior and luminance adjustment

Yang

Shang

et al. 2016

OCEANS 2016 - Shanghai

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Underwater images are degraded mainly by light scattering and color distortion. Light scattering occurs because the light is reflected and deflected multiple times by the suspended particles in the water before reaching the camera. Color distortion is caused due to the absorption degrees vary according to the light wavelength. At last, the underwater images are dominated by a bluish tone. In this paper, we propose a novel underwater image enhancement approach based on dark channel prior and luminance adjustment. The dehazed underwater image obtained by dark channel prior characterizes with low brightness. Then, we utilize a novel luminance adjustment method to enhance image contrast. The enhanced image shows improved global contrast and better preserved image details and edges. Experimental results demonstrate the effectiveness of our method compared to the state-of-the-art methods.

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Underwater image enhancement method based on entropy weight fusion

Sun

Wang

et al. 2022

Computer Animation & Virtual

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Due to the absorption and scattering of underwater light, underwater images often have some phenomena such as colorcast, low contrast, and blurred details.Therefore, an underwater image enhancement method based on entropy weight fusion is proposed. First, white balance processing can effectively correct the blue (green) color appearance of the image. Then the white-balanced images are converted from RGB space to LAB space, and L channel is processed with improved adaptive gamma correction, and then converted back to RGB space. CLAHE and bilateral filtering are performed in RGB space. The RGB space is converted to HSV space, the V channel is processed by single-scale retinex algorithm combined with guided filtering, stretching the R channel with s-cosine curve,and then converted back to RGB space. Finally, the three results are fused by entropy weight to obtain the final enhanced image. Experimental results show that the proposed algorithm can improve the contrast and clarity of underwater images, and effectively remove colorcast.

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A retinex-based enhancing approach for single underwater image

Cited by 361 publications

References 15 publications

Single underwater image enhancement based on color cast removal and visibility restoration

Single underwater image enhancement based on color cast removal and visibility restoration

Underwater image enhancement via dark channel prior and luminance adjustment

Underwater image enhancement method based on entropy weight fusion

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