Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Single Image Haze Removal Using Dark Channel Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence
Regularized Image Recovery in Scattering Media
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Fast $O(1)$ Bilateral Filtering Using Trigonometric Range Kernels
IEEE Transactions on Image Processing
Fast image dehazing using guided joint bilateral filter
The Visual Computer: International Journal of Computer Graphics - CGI'2012 Conference
Computers & Mathematics with Applications
Enhancing underwater images and videos by fusion
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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This paper describes a novel method to enhance underwater images by image dehazing. Scattering and color change are two major problems of distortion for underwater imaging. Scattering is caused by large suspended particles, such as turbid water which contains abundant particles. Color change or color distortion corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. Our key contributions are proposed a new underwater model to compensate the attenuation discrepancy along the propagation path, and proposed a fast joint trigonometric filtering dehazing algorithm. The enhanced images are characterized by reduced noised level, better exposedness of the dark regions, improved global contrast while the finest details and edges are enhanced significantly. In addition, our method is comparable to higher quality than the state-of-the-art methods by assuming in the latest image evaluation systems.