Most learning-based methods previously used in image dehazing employ a supervised learning strategy,which is timeconsuming and requires a large-scale ***,large-scale datasets are difcult to ***,we propose a selfsuperv...
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Most learning-based methods previously used in image dehazing employ a supervised learning strategy,which is timeconsuming and requires a large-scale ***,large-scale datasets are difcult to ***,we propose a selfsupervised zero-shot dehazing network(SZDNet)based on dark channel prior,which uses a hazy image generated from the output dehazed image as a pseudo-label to supervise the optimization process of the ***,we use a novel multichannel quad-tree algorithm to estimate atmospheric light values,which is more accurate than previous ***,the sum of the cosine distance and the mean squared error between the pseudo-label and the input image is applied as a loss function to enhance the quality of the dehazed *** most signifcant advantage of the SZDNet is that it does not require a large dataset for training before performing the dehazing *** testing shows promising performances of the proposed method in both qualitative and quantitative evaluations when compared with state-of-the-art methods.
Improving the robustness of watermark in withstanding attacks has been one of the main research objectives in digital image watermarking. In this paper we propose a novel region-adaptive watermarking technique that ca...
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ISBN:
(纸本)9781479953561
Improving the robustness of watermark in withstanding attacks has been one of the main research objectives in digital image watermarking. In this paper we propose a novel region-adaptive watermarking technique that can provide improvements in both robustness and visual quality of the watermarks when compared to the original, non-region-adaptive, embedding technique. The proposed technique, which is derived from our previously published research finding, shows that the relative difference in spectral distributions between the watermark data and the host image plays an important role in improving the watermark robustness and transparency.
Improving the robustness of watermark in withstanding attacks has been one of the main research objectives in digital image *** this paper we propose a novel region-adaptive watermarking technique that can provide imp...
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Improving the robustness of watermark in withstanding attacks has been one of the main research objectives in digital image *** this paper we propose a novel region-adaptive watermarking technique that can provide improvements in both robustness and visual quality of the watermarks when compared to the original,non-regionadaptive, embedding *** proposed technique,which is derived from our previously published research finding,shows that the relative difference in spectral distributions between the watermark data and the host image plays an important role in improving the watermark robustness and transparency.
We proposed a semi-blind digital image watermarking technique for copyright protection The proposed algorithm embedded a binary sequence watermark into significant wavelet coefficients by using a quantization method. ...
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We proposed a semi-blind digital image watermarking technique for copyright protection The proposed algorithm embedded a binary sequence watermark into significant wavelet coefficients by using a quantization method. The main idea of the quantization method was to quantize a middle coefficient of the triplet of a significant wavelet coefficient according to the watermark's value. Unlike all existing algorithm. which used a random location table to find a coefficient in which the watermark bit will be embedded: the proposed algorithm used quad-tree decomposition to find a significant wavelet coefficient for embedding. For watermark detection, an original host image was not required. Thanks to the usage of significant wavelet coefficients. the proposed algorithm improved the correlation value, up to 0 43, in comparison with the existing algorithm.
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