- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Study Algorithms which Assessed Quality of the Blurred Images | ||
| JOURNAL OF THI-QAR SCIENCE | ||
| Article 1, Volume 4, Issue 4, 2014, Pages 79-85 | ||
| Authors | ||
| Radhi Sh.Hamoudi; ; H. kareem; Hazim G. Dway | ||
| Abstract | ||
| No-reference measurement of blurring artifacts in images is a 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 Metrics (PBM) and the Entropy of the First Derivative (EFD) Image; the BQM is a simple metric and gives good accuracy in metrics the quality for the Gaussian blurred image if it compared with another algorithms. | ||
| Keywords | ||
| reference quality assessment; Gaussian blurring; Standard Deviation; mean | ||
|
Statistics Article View: 51 PDF Download: 34 |
||