In Section 3, we introduce the color correction method used in this letter. In the rest of the letter, we give a brief overview of the related work in Section 2. Our contributions are four-fold: (1) to our best knowledge, it is the first method that estimates medium transmission of underwater image by combining learning-based strategy with the characteristics of light traveling in water medium (2) a global background light estimation algorithm specialized for underwater images is proposed based on background light region detection and underwater optical property (3) an underwater image dataset which includes 45 underwater images with a wide variety of contents collected from the Internet is presented and (4) the proposed method does not require complex information about the underwater scenes and user interaction. In this letter, a hybrid underwater image correction method, which includes color correction and underwater image dehazing, is proposed. Thus, underwater image correction techniques are desired in both scientific researches and computer applications. Moreover, light scattering blurs image features and decreases contrast. For underwater scenario, light with different wavelengths is absorbed at different rates, which leads to the serious color casts. However, underwater images are characterized by low contrast, limited visibility, and diminished color due to the effects of light absorption and scattering. ![]() The visual quality of underwater images plays a crucial role in many ocean engineering applications and scientific researches, such as marine ecological research and ocean rescue. Subjective and objective performance evaluations demonstrate that the proposed method significantly improves both color and visibility of degraded underwater images, and is comparable to and even outperforms several state-of-the-art methods. Since there is no available dataset in this relatively new research area, a dataset which includes 45 underwater images with a wide variety of contents is collected. Then, underwater image dehazing method is proposed to improve the visibility of underwater images, which includes a global background light estimation algorithm specialized for underwater images and a medium transmission estimation algorithm based on the combination a regression model with the characteristics of light traveling in water medium. ![]() ![]() Firstly, an efficient color correction algorithm is applied to remove color casts of underwater images. In this letter, a hybrid method, which includes color correction and underwater image dehazing, is proposed to improve the visual quality of degraded underwater images. Underwater images surfer from serious color deviation and blurring due to the effects of light absorption and scattering.
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