An image quality assessment method based on edge extraction and singular value for blurriness
Lei Zhou,
Chuanlin Liu,
Amit Yadav
et al.
Abstract:The automatic assessment of perceived image quality is crucial in the field of image processing. To achieve this idea, we propose an image quality assessment (IQA) method for blurriness. The features of gradient and singular value were extracted in this method instead of the single feature in the traditional IQA algorithms. According to the insufficient size of existing public image quality assessment datasets to support deep learning, machine learning was introduced to fuse the features of multiple domains, a… Show more
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