A new underwater image enhancement algorithm based on adaptive feedback and Retinex algorithm

Tang, Zhijie; Jiang, Lizhou; Luo, Zhihang

doi:10.1007/s11042-021-11095-5

Cited by 16 publications

(8 citation statements)

References 8 publications

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“…In terms of the Retinex algorithm, Hassan performed a Retinex-based enhancement of a CLAHE-processed image; the qualitative and quantitative performance comparison with some of the existing approaches showed that the proposed approach achieved better enhancement of the underwater images [30]. In [31], Tang et al proposed a new underwater image-enhancement algorithm based on adaptive feedback and the Retinex algorithm; the result showed that the color saturation, color richness, and clarity of the image were all significantly improved. Jobson et al extended a previously designed single-scale center/surround Retinex to a multi-scale version that achieved simultaneous dynamic range compression/color consistency/lightness rendition [32].…”

Section: Color Enhancement Without the Information Of Light Attenuationmentioning

confidence: 99%

The Color Improvement of Underwater Images Based on Light Source and Detector

Quan

Wei

et al. 2022

Sensors

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As one of the most direct approaches to perceive the world, optical images can provide plenty of useful information for underwater applications. However, underwater images often present color deviation due to the light attenuation in the water, which reduces the efficiency and accuracy in underwater applications. To improve the color reproduction of underwater images, we proposed a method with adjusting the spectral component of the light source and the spectral response of the detector. Then, we built the experimental setup to study the color deviation of underwater images with different lamps and different cameras. The experimental results showed that, a) in terms of light source, the color deviation of an underwater image with warm light LED (Light Emitting Diode) (with the value of Δa*2+Δb*2 being 26.58) was the smallest compared with other lamps, b) in terms of detectors, the color deviation of images with the 3×CMOS RGB camera (a novel underwater camera with three CMOS sensors developed for suppressing the color deviation in our team) (with the value of Δa*2+Δb*2 being 25.25) was the smallest compared with other cameras. The experimental result (i.e., the result of color improvement between different lamps or between different cameras) verified our assumption that the underwater image color could be improved by adjusting the spectral component of the light source and the spectral response of the detector. Differing from the color improvement method with image processing, this color-improvement method was based on hardware, which had advantages, including more image information being retained and less-time being consumed.

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Section: Color Enhancement Without the Information Of Light Attenuationmentioning

confidence: 99%

The Color Improvement of Underwater Images Based on Light Source and Detector

Quan

Wei

et al. 2022

Sensors

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“…In the past, film and television postproduction processes have seen continuous development in image processing technology [9]. Among the common image processing techniques, adjusting image sharpness and color saturation is one of the most efficient processing techniques [10]. It is generally applied to black and white image processing, pseudocolor image processing, and color image restoration [11].…”

Section: Introductionmentioning

confidence: 99%

Application of Improved Image Processing Technology in New Media Short Video Quality Improvement in Film and Television Postproduction

Wang

2023

International Journal of Digital Multimedia Broadcasting

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With the development of film and television industry and the rise of new media short video, film and television postproduction process has higher and higher requirements for image quality. In film and television postproduction, optimizing the image quality can enhance the resolution and make the image more vivid and detailed. High-quality image can fully embody the value of film and television, as well as promote the development of new media short videos. This paper optimizes image quality by improving image processing technology, thus improving the quality and value of film and television and new media short videos. In this paper, a convolutional neural network combined with a nonlinear activation function is used to establish an improved image processing technology model to efficiently extract image features. This technology can enhance the ability to extract image features, improve the accuracy of image feature extraction, and then improve the image resolution and details, thus improving the image quality in the process of film and television postproduction. The results show that the average value of PSNR is 30.29. The average value of PSNR of the proposed algorithm is higher than that of other algorithms, indicating that the error between the image processed by the proposed algorithm and the original image is small. The average SSIM of the algorithm in this paper is 0.903, which is closer to 1. Compared with other algorithms, the structure processed by the algorithm in this paper is more similar to the original structure, resulting in a better graph. The algorithm in this paper has the best performance on both the peak signal-to-noise ratio (PSNR) and the structural similarity (SSIM). The improved image processing technology proposed in this paper can effectively improve the accuracy of image feature extraction, making film and television or new media short video images of higher quality.

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“…Haiyang Meng et al proposed a hybrid method for color correction process based on the principle that exploits the relationship of red channel, green channel, and blue channel [31]. Zhijie Tang et al proposed an underwater image enhancement algorithm based on adaptive feedback and Retinex algorithm, the color saturation and color richness of the image have all been significantly improved [32]. Kamil Zakwan Mohd Azmi et al proposed a natural-based underwater image color enhancement (NUCE) method.…”

Section: Introductionmentioning

confidence: 99%

The deep-sea camera with three detectors based on triple-prism

quan¹,

Wei²,

Li³

et al. 2023

Preprint

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The deep-sea photogrammetry is an important means of deep-sea exploration. Due to the attenuation of light in water, deep-sea camera systems need deep-sea lamps to provide the light source, which consume lots of energy. So the light utilization efficiency of deep-sea optical camera affects the load capacity and operation capacity of deep-sea platforms. In addition, due to the non-linearity of light attenuation in different wavelength, the deep-sea optical images generally suffer from color deviation with tending to be blue and green, which leads to the decline of operation efficiency and the increase of scientific research cost in deep-sea exploration. In order to improve the light utilization efficiency and enhance the color restoration of deep-sea camera, we proposed, designed and developed a deep-sea camera with three detectors based on triple-prism (TD&TP-DSC) for the first time. In this camera system, three detectors combined with triple-prism aimed to improve the light utilization efficiency, and the coatings on the triple-prism were designed for gating waveband to improve the color restoration. With carrying out a series of experiments in water tank, water pool, Qiandao Lake and the South China Sea, the low-light performance and color restoration of TD&TP-DSC were certified. The experimental result showed that TD&TP-DSC had advantages over the common deep-sea camera, which provided enlightenment for the development of new generation deep-sea camera system.

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A new underwater image enhancement algorithm based on adaptive feedback and Retinex algorithm

Cited by 16 publications

References 8 publications

The Color Improvement of Underwater Images Based on Light Source and Detector

The Color Improvement of Underwater Images Based on Light Source and Detector

Application of Improved Image Processing Technology in New Media Short Video Quality Improvement in Film and Television Postproduction

The deep-sea camera with three detectors based on triple-prism

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