图像清晰度指标 [英] Image sharpness metric

问题描述

是否存在一些鲁棒的图像清晰度或模糊度指标?我有各种图像 不同的饱和度参数，以及从不同的光学系统捕获的参数，我希望向用户展示诸如聚焦质量之类的东西.为了获得最聚焦的图像，我使用通过Sobel-Tenengrad运算符(高对比度像素的总和)获得的度量，但是问题是，对于不同的对象，度量范围完全不同(取决于图像强度，光学系统的未知参数)-需要一些度量标准，以便可以说图像与参考图像相比没有聚焦，像是不良"或良好"聚焦图像.

Is there some robust metric of image sharpness or bluriness? I have various set of images with different parameters of saturation and captured from different optical systems, and i heed to show user something like "quality" of focusing. For getting most focused image i use metric getted with Sobel-Tenengrad operator(summ of high-contrast pixels), but the problem is that for different objects are quite different range of metric(depends on unknown parameters of image intensity, optical system ) - needed some metric where possible to say that image has bad focus whithout comparing with reference image, like this is "bad" or "good" focused image.

推荐答案

您需要无参考清晰度指标，例如:

You need a no-reference sharpness metric, such as:

• 模糊检测(CPBD)的累积概率 https://ivulab.asu.edu/software/质量/cpbd
• S3 http://vision.okstate.edu/s3/
• 只是明显的模糊(JNB) https://ivulab.asu.edu/software/quality/jnbm
• LPC-SI https://ece.uwaterloo.ca/~z70wang/publications /TIP_LPCSharpness.pdf

• Cumulative probability of blur detection (CPBD) https://ivulab.asu.edu/software/quality/cpbd
• S3 http://vision.okstate.edu/s3/
• Just noticeable blur (JNB) https://ivulab.asu.edu/software/quality/jnbm
• LPC-SI https://ece.uwaterloo.ca/~z70wang/publications/TIP_LPCSharpness.pdf

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