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Stochastic resonance effects of human visual perception

机译:人类视觉感知的随机共振效应

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The research about human visual perception has increased noticeably and it serves as the basis for the study of image processing. Basically, the behavior in human visual perception is highly pertinent to perceptual image quality, therefore influence on visual perception resulted in by distorted, noisy image is a crucial issue. One method applying the called "Stochastic Resonance" to noised signal processing has attracted increasing attention in recent years. The concept of stochastic resonance is that noised signal will be easier to recognize than the one without noise under appropriate noise and threshold level. There are plenty of researches about effect of stochastic resonance in biological signal processing and image processing fields. Furthermore, the effect of stochastic resonance in human visual perception was verified by related psychophysical experiments and pertinent researches were revealed. In the article, stochastic resonance phenomenon in human visual perception is investigated, especially, the effect of wavelet filtering on the stochastic resonance. Here a comparison between static image quality assessment and subjective human visual image quality evaluation of dynamical video, which is composed of low-pass filtered image, will be considered as an analytic vehicle to discuss the influence of low-pass filtering to the effect of stochastic resonance in human visual perception.
机译:关于人类视觉感知的研究显着增加,并为图像处理研究奠定了基础。基本上,人类视觉感知中的行为与感知图像质量高度相关,因此,失真,嘈杂的图像对视觉感知的影响是至关重要的问题。近年来,一种将“随机共振”应用于噪声信号处理的方法引起了越来越多的关注。随机共振的概念是,在适当的噪声和阈值水平下,与没有噪声的信号相比,噪声信号将更易于识别。关于随机共振在生物信号处理和图像处理领域中的作用的研究很多。此外,通过相关的心理物理实验验证了随机共振在人的视觉感知中的作用,并揭示了相关的研究。本文研究了人类视觉感知中的随机共振现象,特别是小波滤波对随机共振的影响。在此,将静态图像质量评估与动态视频的主观人类视觉图像质量评估(由低通滤波图像组成)之间的比较作为分析工具,讨论低通滤波对随机效应的影响人类视觉感知的共振。

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