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• W3081639259 abstract "Recent works on plug-and-play image restoration have shown that a denoiser can implicitly serve as the image prior for model-based methods to solve many inverse problems. Such a property induces considerable advantages for plug-and-play image restoration (e.g., integrating the flexibility of model-based method and effectiveness of learning-based methods) when the denoiser is discriminatively learned via deep convolutional neural network (CNN) with large modeling capacity. However, while deeper and larger CNN models are rapidly gaining popularity, existing plug-and-play image restoration hinders its performance due to the lack of suitable denoiser prior. In order to push the limits of plug-and-play image restoration, we set up a benchmark deep denoiser prior by training a highly flexible and effective CNN denoiser. We then plug the deep denoiser prior as a modular part into a half quadratic splitting based iterative algorithm to solve various image restoration problems. We, meanwhile, provide a thorough analysis of parameter setting, intermediate results and empirical convergence to better understand the working mechanism. Experimental results on three representative image restoration tasks, including deblurring, super-resolution and demosaicing, demonstrate that the proposed plug-and-play image restoration with deep denoiser prior not only significantly outperforms other state-of-the-art model-based methods but also achieves competitive or even superior performance against state-of-the-art learning-based methods. The source code is available at this https URL." @default.
• W3081639259 created "2020-09-08" @default.
• W3081639259 creator A5001254143 @default.
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• W3081639259 date "2020-08-31" @default.
• W3081639259 modified "2023-10-18" @default.
• W3081639259 title "Plug-and-Play Image Restoration with Deep Denoiser Prior" @default.
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• W3081639259 cites W1901129140 @default.
• W3081639259 cites W1906770428 @default.
• W3081639259 cites W1912194039 @default.
• W3081639259 cites W1996726072 @default.
• W3081639259 cites W2016598597 @default.
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• W3081639259 cites W2097073572 @default.
• W3081639259 cites W2113945798 @default.
• W3081639259 cites W2119290843 @default.
• W3081639259 cites W2121927366 @default.
• W3081639259 cites W2130184048 @default.
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• W3081639259 cites W2138204001 @default.
• W3081639259 cites W2142683286 @default.
• W3081639259 cites W2146782367 @default.
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• W3081639259 cites W2395103039 @default.
• W3081639259 cites W2410797836 @default.
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• W3081639259 cites W2573726823 @default.
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• W3081639259 hasPublicationYear "2020" @default.
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