Results 211 to 220 of about 12,320,508 (255)

Bayesian retinex underwater image enhancement

Engineering Applications of Artificial Intelligence, 2021
Abstract This paper develops a Bayesian retinex algorithm for enhancing single underwater image with multiorder gradient priors of reflectance and illumination. First, a simple yet effective color correction approach is adopted to remove color casts and recover naturalness.
Peixian Zhuang, Chongyi Li, Jiamin Wu
openaire   +2 more sources

Enhancement of Nonuniformly Illuminated Underwater Images

International Journal of Pattern Recognition and Artificial Intelligence, 2020
Underwater image capturing is a challenging task due to attenuation of light in water. Scattering and absorption are the results of light attenuation which lead to faded colors and reduced contrast of images, respectively. To deal with these issues and to provide better visual quality image, various enhancement methods have been proposed.
Monika Mathur, Nidhi Goel 0001
openaire   +1 more source

Underwater Image Enhancement for Automotive Wading

2021 13th International Conference on Computer and Automation Engineering (ICCAE), 2021
To improve the driver safety for automotive wading, the underwater image enhancement is designed to help drivers to deal with fuzzy images shown in highly scattered underwater environments and detect hidden obstacles. In addition to the traditional methods, some neural network approaches which may perform better are suggested. The purpose of this paper
Hang Zhu, Rui Song
openaire   +2 more sources

Enhancing underwater images and videos by fusion

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
This paper describes a novel strategy to enhance underwater videos and images. Built on the fusion principles, our strategy derives the inputs and the weight measures only from the degraded version of the image. In order to overcome the limitations of the underwater medium we define two inputs that represent color corrected and contrast enhanced ...
Cosmin Ancuti   +3 more
openaire   +2 more sources

Fusion of Underwater Image Enhancement and Restoration

International Journal of Pattern Recognition and Artificial Intelligence, 2019
Optical properties of water distort the quality of underwater images. Underwater images are characterized by poor contrast, color cast, noise and haze. These images need to be pre-processed so as to get some information. In this paper, a novel technique named Fusion of Underwater Image Enhancement and Restoration (FUIER) has been proposed which ...
Rajni Sethi, Indu Sreedevi
openaire   +2 more sources

Underwater Image Enhancement by Wavelength Compensation and Dehazing

IEEE Transactions on Image Processing, 2012
Light scattering and color change are two major sources of distortion for underwater photography. Light scattering is caused by light incident on objects reflected and deflected multiple times by particles present in the water before reaching the camera. This in turn lowers the visibility and contrast of the image captured.
John Yi-Wu Chiang, Ying-Ching Chen
openaire   +3 more sources

Underwater image enhancement by attenuation inversionwith quaternions

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
In this paper, an underwater image enhancement method using quaternions is presented. This work aims to improve color rendition and contrast of the objects, as if the scene has been taken out of water. This method is based on light attenuation inversion after processing a color space contraction using quaternions.
Frédéric D. Petit   +2 more
openaire   +2 more sources

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