Abstract
In order to meet the needs of the objective evaluation of no-reference image, a no-reference image quality measure is presented. The measure is based on edge analysis and is suitable for images with noise. Taking properties of the Human Visual System(HVS) into account, we compute the probability of blur after getting the edge width and the local contrasts. And at last the image quality probability can be got considering cumulative probability of blur detection and the noise pollution degree. Experimental results show that the metric has a wide application, good anti-noise ability, simple calculation, as well as in high consistence with the subjective evaluation results.
Highlights
A With the widespread use of image information technology, the image which contains a lot of valuable information is more and more valued as the source of visual information
There is a cumulative probability of blur detection (CPBD) model which denotes the probability of edge sharpness of the whole image and the ratio noise affects the quality of an image
Experimental results are provided to illustrate the performance of the proposed no-reference image quality measure
Summary
A With the widespread use of image information technology, the image which contains a lot of valuable information is more and more valued as the source of visual information. An automated and objective no-reference image quality evaluation assessment is needed considering the errors caused by subjective judgment and the time-consuming staff. Research on reference and semi-reference image quality evaluation has achieved good results. Some scholars have studied the image quality evaluation method, and have achieved some results. These algorithms are either based on edge analysis to evaluate the image blurriness as in literature [1,2,3,4], or estimate the variance of the noise as in [7,8,9,10]. Considering the situation, this paper proposes an evaluation method combining the edge analysis and image noise level, which can be used more broadly
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