computer-vision-6

Image Deblocking

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Deyu Meng, K. Zhang, W. Zuo, Yunjin Chen, Lei Zhang•Fri Aug 12 2016

This paper investigates the construction of feed-forward denoising convolutional neural networks (DnCNNs) to embrace the progress in very deep architecture, learning algorithm, and regularization method into image Denoising, and uses residual learning and batch normalization to speed up the training process as well as boost theDenoising performance.

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Deep Variational Network Toward Blind Image Restoration

Deyu Meng, Lei Zhang, Zongsheng Yue, Hongwei Yong, Qian Zhao, Kwan-Yen K. Wong•Mon Aug 24 2020

A general Bayesian generative model is constructed for the blind IR, which explicitly depicts the degradation process and a variational inference algorithm is designed where all the expected posteriori distributions are parameterized as deep neural networks to increase their model capability.

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LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond

Jiangbo Lu, Jiaya Jia, Lu Qi, Kun Zhou, Wenbo Li, Nianjuan Jiang•Thu May 20 2021

A linearly-assembled pixel-adaptive regression network (LAPAR) is proposed, which casts the direct LR to HR mapping learning into a linear coefficient regression task over a dictionary of multiple predefined filter bases, which renders the model highly lightweight and easy to optimize while achieving state-of-the-art results on SISR benchmarks.

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Towards Flexible Blind JPEG Artifacts Removal

K. Zhang, Radu Timofte, Jiaxi Jiang•Tue Sep 28 2021

This paper proposes a flexible blind convolutional neural network that can predict the adjustable quality factor to control the trade-off between artifacts removal and details preservation and achieves favorable performance against state-of-the-art methods in terms of both quantitative metrics and visual quality.

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EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration

Zhiwei Xiong, Yueyi Zhang, Zeyu Xiao, Jie Huang, Ruikang Xu•Mon May 10 2021

Experimental results demonstrate that the proposed Enhanced Deep Pyramid Network (EDPN) significantly outperforms existing solutions for blurry image super-resolution and blurry image deblocking.

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