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Comparison of the proposed methods with the state-of-the-art image denoising methods in terms of structural similarity (SSIM) and feature similarity (FSIM) for a range of input noise levels σ = 10 to σ = 50.

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Figshare2019-05-10 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Comparison_of_the_proposed_methods_with_the_state-of-the-art_image_denoising_methods_in_terms_of_structural_similarity_SSIM_and_feature_similarity_FSIM_for_a_range_of_input_noise_levels_i_i_10_to_i_i_50_/8109674
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Comparison of the proposed methods with the state-of-the-art image denoising methods in terms of structural similarity (SSIM) and feature similarity (FSIM) for a range of input noise levels σ = 10 to σ = 50.
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2019-05-10
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