LEARNING CLUSTERING-BASED LINEAR MAPPINGS FOR QUANTIZATION NOISE REMOVAL

机译：基于聚类的基于聚类的线性映射，用于拆除量化噪声

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This paper describes a novel scheme to reduce the quantization noise of compressed videos and improve the overall coding performances. The proposed scheme first consists in clustering noisy patches of the compressed sequence. Then, at the encoder side, linear mappings are learned for each cluster between the noisy patches and the corresponding source patches. The linear mappings are then transmitted to the decoder where they can be applied to perform denoising. The method has been tested with the HEVC standard, leading to a bitrate saving of up to 9.63%.

机译：本文介绍了一种降低压缩视频的量化噪声并改善整体编码性能的新颖方案。所提出的方案首先由压缩序列的聚类噪声组成。然后，在编码器侧，为噪声补丁和相应的源补丁之间的每个群集学习线性映射。然后将线性映射发送到解码器，在那里可以应用于执行去噪。该方法已通过HEVC标准进行测试，导致比特率可节省高达9.63％。

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《IEEE International Conference on Image Processing》|2016年|3857-4512p|共5页
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作者
Martin Alain; Christine Guillemot; Dominique Thoreau; Philippe Guillotel;
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中图分类 TP391.41-53;
关键词
Clustering; Linear mapping; Regression; De-noising; HEVC;

机译：聚类;线性映射;回归;去噪;HEVC;

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1. Manifold Learning Using Linear Local Tangent Space Alignment (LLTSA) Algorithm for Noise Removal in Wavelet Filtered Vibration Signal [J] . Anil Kumar, Rajesh Kumar Journal of Nondestructive Evaluation . 2016,第3期

机译：采用线性局部切线空间对准（LLTSA）算法的歧管学习，用于在小波滤波振动信号中噪声去除算法
2. Manifold Learning Using Linear Local Tangent Space Alignment (LLTSA) Algorithm for Noise Removal in Wavelet Filtered Vibration Signal [J] . Anil Kumar, Rajesh Kumar Journal of Nondestructive Evaluation . 2016,第3期

机译：采用线性局部切线空间对准（LLTSA）算法的歧管学习，用于在小波滤波振动信号中噪声去除算法
3. A Class of Quantizers With DC-Free Quantization Noise and Optimal Immunity to Nonlinearity-Induced Spurious Tones [J] . Familier, E., Venerus, IEEE Transactions on Signal Processing . 2013,第17期

机译：一类具有无直流量化噪声和对非线性引起的杂散音具有最佳抗扰性的量化器
4. Learning clustering-based linear mappings for quantization noise removal [C] . Martin Alain, Christine Guillemot, Dominique Thoreau, IEEE International Conference on Image Processing . 2016

机译：学习基于聚类的线性映射以消除量化噪声
5. High performance non-linear filter for impulse noise removal and edge detection in images. [D] . Awad, Ali Said. 2008

机译：高性能非线性滤波器，用于去除脉冲噪声和图像中的边缘检测。
6. Noise-aware dictionary-learning-based sparse representation framework for detection and removal of single and combined noises from ECG signal [O] . Udit Satija, Barathram Ramkumar, M. Sabarimalai Manikandan 2017

机译：基于噪声感知的字典学习的稀疏表示框架用于检测和消除ECG信号中的单个和组合噪声
7. Learning Clustering-Based Linear Mappings for Quantization Noise Removal [O] . Alain, Martin, Guillemot, Christine, Thoreau, Dominique, 2016

机译：学习基于聚类的线性映射进行量化噪声消除

LEARNING CLUSTERING-BASED LINEAR MAPPINGS FOR QUANTIZATION NOISE REMOVAL

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