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Noise Removal Algorithm for Underwater Images using Adaptive Fusion of Bilateral and Curvelet Transform
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Images captured under water are noisy due to various reasons. The traditional filters and novel filtering algorithms found in the literature lead to failure in preserving small scale details such as curves and textures in noise images. This paper proposes a noise removal algorithm for underwater images that uses the significant features of bilateral filter, CT (Curvelet Transform) and fusion mechanism in increasing the performance of denoised image.
Keywords
Noise Removal, Curvelet, Bilateral Filter, Edge Preserve, Texture Preserve.
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