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Pregled bibliografske jedinice broj: 916131

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


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 (podatak o recenziji nije dostupan, članak, znanstveni)


CROSBI ID: 916131 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Bjelopera, Anamaria ; Dumić, Emil ; Grgić, Sonja

Izvornik
Radioengineering (1210-2512) 26 (2017), 4; 930-937

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Dubrovniku,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Emil Dumić (autor)

Avatar Url Anamaria Bjelopera (autor)

Avatar Url Sonja Grgić (autor)

Poveznice na cjeloviti tekst rada:

doi www.radioeng.cz

Citiraj ovu publikaciju:

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 (podatak o recenziji nije dostupan, članak, znanstveni)
Bjelopera, A., Dumić, E. & Grgić, S. (2017) Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure. Radioengineering, 26 (4), 930-937 doi:10.13164/re.2017.0930.
@article{article, author = {Bjelopera, Anamaria and Dumi\'{c}, Emil and Grgi\'{c}, Sonja}, year = {2017}, pages = {930-937}, DOI = {10.13164/re.2017.0930}, keywords = {Image degradation, Riesz transform, BRISQUE, Gaussian noise, Blur, Level}, journal = {Radioengineering}, doi = {10.13164/re.2017.0930}, volume = {26}, number = {4}, issn = {1210-2512}, title = {Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure}, keyword = {Image degradation, Riesz transform, BRISQUE, Gaussian noise, Blur, Level} }
@article{article, author = {Bjelopera, Anamaria and Dumi\'{c}, Emil and Grgi\'{c}, Sonja}, year = {2017}, pages = {930-937}, DOI = {10.13164/re.2017.0930}, keywords = {Image degradation, Riesz transform, BRISQUE, Gaussian noise, Blur, Level}, journal = {Radioengineering}, doi = {10.13164/re.2017.0930}, volume = {26}, number = {4}, issn = {1210-2512}, title = {Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure}, keyword = {Image degradation, Riesz transform, BRISQUE, Gaussian noise, Blur, Level} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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