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Analysis of Sharpness Increase by Image Noise

机译:图像噪声分析锐度增加

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Motivated by the reported increase in sharpness by image noise, we investigated how noise affects sharpness perception. We first used natural images of tree bark with different amounts of noise to see whether noise enhances sharpness. Although the result showed sharpness decreased as noise amount increased, some observers seemed to perceive more sharpness with increasing noise, while the others did not. We next used 1 D and 2D uni-frequency patterns as stimuli in an attempt to reduce such variability in the judgment. The result showed, for higher frequency stimuli, sharpness decreased as the noise amount increased, while sharpness of the lower frequency stimuli increased at a certain noise level. From this result, we thought image noise might reduce sharpness at edges, but be able to improve sharpness of lower frequency component or texture in image. To prove this prediction, we experimented again with the natural image used in the first experiment. Stimuli were made by applying noise separately to edge or to texture part of the image. The result showed noise, when added to edge region, only decreased sharpness, whereas when added to texture, could improve sharpness. We think it is the interaction between noise and texture that sharpens image.
机译:通过图像噪音报告的锐利增加的动机,我们研究了噪音如何影响清晰度感知。我们首先使用不同噪声的树皮的自然图像,看看噪音是否提高了清晰度。尽管结果表明锐度随着噪声量的增加而降低,但是一些观察者似乎在增加噪音时感知更清晰度,而其他观察者则没有。我们接下来使用1 D和2D单频模式作为刺激,以便在判断中降低这种可变性。结果显示,对于较高的频率刺激,随着噪声量的增加而降低,锐度降低,而较低频率刺激的清晰度在一定的噪声水平上增加。从这个结果,我们认为图像噪声可能会降低边缘的清晰度,但能够改善图像中较低频率分量或纹理的清晰度。为了证明这一预测,我们再次尝试了第一次实验中使用的自然图像。通过将噪声分别应用于边缘或图像的纹理部分来制造刺激。结果显示出噪声,当添加到边缘区域时,仅降低清晰度,而当添加到纹理时,可以提高清晰度。我们认为这是锐化图像的噪声和纹理之间的相互作用。

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