An In-Depth Survey of Underwater Image Enhancement and Restoration

Miao, Yongwu; Hu, Jintong; Li, Chongyi; Rohde, Gustavo K.; Du, Yixiang; Hu, Ke

doi:10.1109/access.2019.2932611

Cited by 110 publications

(48 citation statements)

References 86 publications

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“…The underwater image enhancement methods based on some spatial/frequency domain transformations or some fusion strategies, which enhance underwater images with higher contrast, richer details, and better visual perception [5], [9], [42], [43]. The well-known methods such as Histogram Equalization (HE) [44], Contrast Limited Adaptive Histogram(CLAHE) [45], Generalized Unsharp Masking (GUM) [46] ,which are generally regarded as classical contrast-enhancement methods, but always fail in dehazing underwater images.…”

Section: B Mainstream Of Single Underweater Image Methodsmentioning

confidence: 99%

A Novel Two-Step Strategy Based on White-Balancing and Fusion for Underwater Image Enhancement

Tao

Dong

2020

IEEE Access

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Images captured from underwater environment always suffer from color distortion, detail loss, and contrast reduction due to the medium scattering and absorption. This paper introduces an enhancement approach to improve the visual quality of underwater images, which does not require any dedicated devices or additional information more than the native single image. The proposed strategy consists of two steps: an improved white-balancing approach and an artificial multiple underexposure image fusion strategy for underwater imaging. In our white-balancing approach, the optimal color-compensated approach is determined by the sum of the Underwater Color Image Quality Evaluation (UCIQE) and the Underwater Image Quality Measure (UIQM). We get an optimal white-balanced version of the input by combining the well-known Gray World assumption and the optimal channel-compensated approach. In our artificial multiple underexposure image fusion strategy, first the gamma-correction operation is adopted to generate multiple underexposure versions. Then we propose to use 'contrast', 'saturation', and 'well-exposedness' as three weights, to be blended into the well-known multi-scale fusing scheme. Images enhanced by our strategy have a better visual quality than some state-of-the-art underwater dehazing techniques, through our validation with a wide range of qualitative and quantitative evaluations. INDEX TERMS Underwater image enhancement, artificial multiple underexposure image fusion, color correction, contrast enhancement, detail recovery.

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Section: B Mainstream Of Single Underweater Image Methodsmentioning

confidence: 99%

A Novel Two-Step Strategy Based on White-Balancing and Fusion for Underwater Image Enhancement

Tao

Dong

2020

IEEE Access

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“…Some of them first estimate the optical properties of the medium [12]. The reader is referred to [13,14] for very comprehensive reviews of the growing body of research on single-image descattering. So far, single-image methods have been demonstrated on images acquired under natural ambient illumination.…”

Section: Methodsmentioning

confidence: 99%

Descattering

Treibitz¹

2020

Computer Vision

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“…In brief, the visual degeneration of underwater images is multifarious in Figure 1. Therefore, the study of underwater sharpening technology is of great significance for the exploration and utilization of underwater resources [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

Underwater Image Enhancement Based on Global and Local Equalization of Histogram and Dual-Image Multi-Scale Fusion

et al. 2020

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Underwater images suffer from color cast and low visibility caused by the medium scattering and absorption, which will reduce the use of valuable information from the image. In this paper, we propose a novel method which includes four stages of pixel intensity center regionalization, global equalization of histogram, local equalization of histogram and multi-scale fusion. Additionally, this method uses a pixel intensity center regionalization strategy to perform centralization of the image histogram on the overall image. Global equalization of histogram is employed to correct color of the image according to the characteristics of each channel. Local equalization of dual-interval histogram based on average of peak and mean values is used to improve contrast of the image according to the characteristics of each channel. Dual-image multiscale fusion to integrate the contrast, saliency and exposure weight maps of the color corrected and contrast enhanced images. Experiments on variety types of degraded underwater images show that the proposed method produces better output results in both qualitative and quantitative analysis, thus, the proposed method outperforms other state-of-the-art methods. INDEX TERMS Underwater image enhancement, Pixel intensity center regionalization, Histogram equalization, Multi-scale fusion.

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An In-Depth Survey of Underwater Image Enhancement and Restoration

Cited by 110 publications

References 86 publications

A Novel Two-Step Strategy Based on White-Balancing and Fusion for Underwater Image Enhancement

A Novel Two-Step Strategy Based on White-Balancing and Fusion for Underwater Image Enhancement

Descattering

Underwater Image Enhancement Based on Global and Local Equalization of Histogram and Dual-Image Multi-Scale Fusion

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