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Image blur assessment has always played an important role in the image quality assessment (IQA). In fact, many methods have been used to measure the blur of an image, but we find that lots of the traditional methods can't effectively compare the blur among images with different contents, leading to the blur measuring more difficult. Recently, we find a perfect method based on the idea that it is difficult...
A new technique is developed for no-reference (NR) quality assessment (QA) of JPEG2000 images. Based on the basic activity of general pixels, the proposed measure overcomes the limitations imposed by feature/structure extraction of distorted images. Besides, its structural contentweighted pooling approach involves no parameter and avoids additional procedures and training data for parameter determination...
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