These characteristics can significantly interfere with the visibility of underwater images and the result of visual tasks, such as segmentation and tracking.
Owing to refraction, absorption, and scattering of light by suspended particles in water, raw underwater images suffer from low contrast, blurred details, and color distortion.
Experimental results show the superiority of our proposed method over several state-of-the-art methods on both real-world and synthetic underwater datasets. In addition, due to the lack of training data, a hybrid underwater image synthesis model, which fuses physical priors and data-driven cues, is proposed to synthesize training data and generalise our enhancement model for real-world underwater images.
#Red colorcast images in underwater Patch#
The detection perceptor provides coherent information in the form of gradients to the enhancement model, guiding the enhancement model to generate patch level visually pleasing images or detection favourable images. In this paper, we propose two perceptual enhancement models, each of which uses a deep enhancement model with a detection perceptor. However, most of the existing underwater image enhancement strategies tend to consider enhancement and detection as two independent modules with no interaction, and the practice of separate optimization does not always help the underwater object detection task. Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater navigation and ocean exploration. The simulation experiments results show that the proposed method is superior to the current state-of-the-art methods in the four aspects of quantitative analysis, qualitative analysis, color accuracy analysis, and restoring synthesized underwater images. Finally, the color correction is added in the underwater image which obtained by the color-line method. We develop a non-convex optimization function to obtain the transmission of the underwater image. Then, the transmission of the underwater image is estimated through the solution of the offsets that the color lines along the background-light vector from the origin.
First of all, the homomorphic filtering is used to remove the color deviation in the underwater image and the obtained image will be used for subsequent processes. In this paper, the method based on color-line model and homomorphic filtering is proposed to enhance the underwater image. The underwater images suffer from low contrast, low visibility and color deviation which caused by scattering and absorption.