无可见损伤运动图像编码的感知增益

B. Girod
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引用次数: 1

摘要

我们讨论了感知效应对无可见损伤视频信号源编码的意义。提出了一种新的非线性阈值视觉时空模型。线性化产生时空变化的w模型。该模型准确地预测了各种感知效应。基于率失真理论的香农下界,对自然测试图像进行了w模型下的不相关降低,从而获得了最大的比特率节省。在典型的观看条件下,由于线性效应的感知增益占主导地位。由于非线性掩蔽效应的最大比特率节省平均低于0.5比特/样本。通常三分之一的掩蔽增益是由于空间掩蔽,其余的是由于图像中存在的暗区和亮区,在这些区域噪声的可见性降低了。由于时间掩蔽的增益仅在场景剪切后的前100毫秒是显著的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceptual Gains for Coding of Moving Images without Visible Impairments
We discuss the significance of perceptual effects for source coding of video signals without visible impairments. A new nonlinear spatiotemporal model of human threshold vision is proposed. Linearization yields the space-time-varying w-model. The model predicts a variety of perceptual effects accurately. Maximum bit-rate savings by irrelevancy reduction according to the w-model are evaluated for natural test pictures on the basis of the Shannon Lower Bound of rate distortion theory. Under typical viewing conditions, perceptual gains due to linear effects dominate. Maximum bit-rate savings due to the nonlinear masking effects are below 0.5 bit/sample in the average. Typically ⅓ of the masking gain is due to spatial masking, the rest is due to the presence of dark and bright areas in the picture, where the visibility of noise is reduced. Gains due to temporal masking are significant only in the first 100 ms after a scene cut.
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