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No-reference Quality Assessment of Gaussian Blurred Images | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 24, Issue 5, 2013, Pages 373-384 | ||
| Author | ||
| Radhi Sh.Hamoudi | ||
| Abstract | ||
| No-reference measurement of blurring artifacts in images isa difficult problem in image quality assessment field. In this paper, we present a no-reference blur metric to measure the quality of the images. These images are degraded using Gaussian blurring. Suggestion method depends on developing the Mean of Locally Standard deviation and Mean of the image (MLSD) model, this method is called Blur Quality Metric (BQM) and it calculates from numerical integral of the function in this model. And the BQM is compared with the No-reference Perceptual Blur Metric (PBM), the BQM is a simple metric and gives good accuracy in metrics the quality for the Gaussian blurred image if it compared with the PBM. | ||
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