Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile
Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile
复制标题
DOI：
10.1109/tcsvt.2005.848313
复制
发表时间：
2005-06
期刊：
影响因子：
--
通讯作者：
Xiaokang Yang;Weisi Lin;Zhongkang Lu;E. Ong;S. Yao
中科院分区：
文献类型：
--
作者：
Xiaokang Yang;Weisi Lin;Zhongkang Lu;E. Ong;S. Yao
我们在基于恰可察觉失真（JND）模型的视频编码方案中提出了一种运动补偿残差信号预处理方案。由于人眼潜在的空间/时间掩蔽特性，人眼无法感知到一个像素周围低于JND阈值的任何变化。一个合适的（即使不完美的）JND模型能够显著有助于提高视频编码算法的性能。从信号压缩的角度来看，对于给定的比特率，信号方差越小，重建信号的客观失真就越小。在本文中，我们利用掩蔽的非线性可加性模型（NAMM）在图像域设计了一种新的彩色视频JND估计器，并将其纳入运动补偿残差信号预处理器中以降低方差从而提高编码质量。结果，在给定比特率下，编码视频的感知质量和客观质量都得到了提高。我们还提出了一种自适应确定残差预处理器参数的解决方案。所设计的技术可应用于任何基于运动补偿预测的标准化视频编码方案。与大多数现有的感知自适应方案（到目前为止主要集中在确定合适的量化步长）相比，它除了量化之外，还为质量控制提供了一个额外的设计选项。作为演示示例，所提出的方案已在MPEG - 2 TM5编码器中实现，在测试的20个视频序列上平均峰值信噪比（PSNR）提高了0.505 dB。主观观看测试证实了感知质量的提高。
We present a motion-compensated residue signal preprocessing scheme in video coding scheme based on just-noticeable-distortion (JND) profile. Human eyes cannot sense any changes below the JND threshold around a pixel due to their underlying spatial/temporal masking properties. An appropriate (even imperfect) JND model can significantly help to improve the performance of video coding algorithms. From the viewpoint of signal compression, smaller variance of signal results in less objective distortion of the reconstructed signal for a given bit rate. In this paper, a new JND estimator for color video is devised in image-domain with the nonlinear additivity model for masking (NAMM) and is incorporated into a motion-compensated residue signal preprocessor for variance reduction toward coding quality enhancement. As the result, both perceptual quality and objective quality are enhanced in coded video at a given bit rate. A solution of adaptively determining the parameter for the residue preprocessor is also proposed. The devised technique can be applied to any standardized video coding scheme based on motion compensated prediction. It provides an extra design option for quality control, besides quantization, in contrast with most of the existing perceptually adaptive schemes which have so far focused on determination of proper quantization steps. As an example for demonstration, the proposed scheme has been implemented in the MPEG-2 TM5 coder, and achieved an average peak signal-to-noise (PSNR) increment of 0.505 dB over the twenty video sequences which have been tested. The perceptual quality improvement has been confirmed by the subjective viewing tests conducted.