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Optimizing DNN based quality assessment metric for image compression: A novel rate control method.

, , , , , , и . ICME, стр. 714-719. IEEE, (2023)

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Chen Chen

Chen Chen

Shih Chen Chen

Yi-Chen Chen

Chen-Loung Chen

 

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Speckle Reduction with Trained Nonlinear Diffusion Filtering., и . CoRR, (2017)Learning Generic Diffusion Processes for Image Restoration., , , и . BMVC, стр. 292. BMVA Press, (2018)Learning Dynamic Guidance for Depth Image Enhancement., , , , , и . CVPR, стр. 712-721. IEEE Computer Society, (2017)Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion., и . CoRR, (2015)Revisiting loss-specific training of filter-based MRFs for image restoration., , , и . CoRR, (2014)Image Denoising via Multiscale Nonlinear Diffusion Models., , , и . SIAM J. Imaging Sci., 10 (3): 1234-1257 (2017)Optimizing DNN based quality assessment metric for image compression: A novel rate control method., , , , , , и . ICME, стр. 714-719. IEEE, (2023)Self-supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations., , , , и . ECCV (18), том 13678 из Lecture Notes in Computer Science, стр. 610-627. Springer, (2022)Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs., , и . IEEE Trans. Image Processing, 23 (3): 1060-1072 (2014)Learning Non-local Image Diffusion for Image Denoising., , , , и . ACM Multimedia, стр. 1847-1855. ACM, (2017)