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Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure (CROSBI ID 246264)

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Bjelopera, Anamaria ; Dumić, Emil ; Grgić, Sonja Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure // Radioengineering, 26 (2017), 4; 930-937. doi: 10.13164/re.2017.0930

Podaci o odgovornosti

Bjelopera, Anamaria ; Dumić, Emil ; Grgić, Sonja

engleski

Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure

In this paper we present a new method for classification of image degradation type based on Riesz transform coefficients and Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) that employs spatial coefficients. In our method we use additional statistical parameters that give statistically better results for blur and all tested degradations together in comparison with previous methods. A new method to determine level of blur and Gaussian noise degradation in images using statistical model of natural scene is presented. We defined parameters for evaluation of level of Gaussian noise and blur degradation in images. In real world applications reference image is usually not available therefore the proposed method enables classification of image degradation by type and estimation of Gaussian noise and blur levels for any degraded image.

Image degradation ; Riesz transform ; BRISQUE ; Gaussian noise ; Blur, Level

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Podaci o izdanju

26 (4)

2017.

930-937

objavljeno

1210-2512

10.13164/re.2017.0930

Povezanost rada

Elektrotehnika, Računarstvo

Poveznice
Indeksiranost