A hybrid algorithm for underwater image restoration based on color correction and image sharpening
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A hybrid algorithm for underwater image restoration based on color correction and image sharpening Haiyang Meng1,2,3 · Yongjie Yan4 · Chengtao Cai1,2,3 · Renjie Qiao1,2,3 · Feng Wang1,2,3 Received: 16 August 2020 / Accepted: 11 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract In this paper, an effective method is proposed for restoring underwater image based on color correction and image sharpening. The main purpose of this method is to improve the visibility of underwater images. Traditional methods generally adopt color balancing method to restore the images. However, we found that color balancing has a poor effectiveness on underwater image when the values of blue channel are greater than other two channels, specially, red channel is great of small than blue channel. Therefore, we propose a hybrid method for color correction process based on a principle that exploits the relationship of three channels (red channel, green channel, and blue channel). On the other words, color balancing will be employed to restore the images when the values of red channel approximate to blue channel, while the DCP-base method will be used if otherwise. To enhance the sharpness of underwater image, we employed a sharpening process based on Maximum a Posteriori (MAP) method when color correction has finished. The proposed method also been validated through carrying out experiments on several underwater image datasets which are provided by previous researchers. Our validation has proved that the proposed method has a better performance than the state-of-the-art methods. Keywords Underwater image · Color correction · Sharpening process · DCP-base method · Image sharpening
1 Introduction Underwater image restoration is still a challenge work due to color distortion when a camera is imaging underwater. The images will have a poor visibility. It is the main reason for this phenomenon that the propagated light has a severely absorption and scattering underwater. As well known, improving the visibility of underwater image is extremely important for visual surveys, such as automatic segmentation [1], aid in navigation [2, 3], objects detection [4, 5], * Chengtao Cai [email protected] 1
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
2
Key laboratory of Intelligent Technology and Application of Marine Equipment (Harbin Engineering University), Ministry of Education, Harbin 150001, China
3
Heilongjiang Provincial Key Laboratory of Environment Intelligent Perception (Harbin Engineering University), Harbin 150001, China
4
State Key Laboratory of Air Traffic Management System and Technology, Nanjing, China
archeology [6], and marine biology research [7]. Thereby, it is important to reduce the affection of light absorption and scattering on underwater images. Generally, light energy will be substantially reduced because of absorption. The scattering causes the changes of light direction. The attenuation
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