Influence of the 2-D sliding windows on the correlation of the digital image quality assessment results using the Structural Similarity approach with the subjective evaluation

• Autorzy: Okarma K.

Warianty tytułu

PL

Wpływ zastosowania różnych funkcji dwuwymiarowego okna przesuwnego na wyniki oceny jakości obrazów wskaźnikiem podobieństwa strukturalnego

• Języki publikacji: EN

Abstrakty

EN

In the paper the influence of the sliding window function, applied instead of the typical Gaussian one, on the results obtained using the Structural Similarity index is analysed. In order to find out how important the shape of two-dimensional window is, some tests using the images from the LIVE Image Quality Assessment Database containing five types of distortions have been performed. Obtained results confirm the noticeable differences between the effects of using various windows while calculating the local SSIM index and can be an inspiration for the further research.

Słowa kluczowe

EN

image quality assessment; 2-D windows; structural similarity

PL

ocena jakości obrazów; okna dwuwymiarowe; podobieństwo strukturalne

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2010
• Tom: R. 86, nr 7
• Strony: 109--111
• Opis fizyczny: Bibliogr. 11 poz., rys., wykr.

Twórcy

autor

Okarma K.

• Chair of Signal Processing and Multimedia Engineering, Faculty of Electrical Engineering, of Technology, Szczecin, ul. 26,

Bibliografia

• [1] Wang Z., Bovik A.C., Sheikh H., Simoncelli P., Image Quality Assessment: From Error Measurement to Structural Similarity, IEEE Trans. Image Proc., 13 (2004), n.4, 600-612
• [2] Sheikh H., Wang Z., Cormack L., Bovik A.C., LIVE Image Quality Assessment Database Release 2, Available at: http://live.ece.utexas.edu/research/quality
• [3] Video Quality Experts Group, Final Report on the Validation of Objective Models of Video Quality Assessment, August 2003, Available at: http://www.vqeg.org
• [4] Eskicioglu A., Fisher P., Chen S., Image Quality Measures and Their Performance, IEEE Trans. Comm., 43 (1995), n.12, 2959-2965
• [5] Eskicioglu A., Quality Measurement for Monochrome Compressed Images in the Past 25 Years, Proc. IEEE Conf. ASSP, Istanbul, Turkey (2000), 1907-1910
• [6] Wang Z., Bovik A.C., A Universal Image Quality Index, IEEE Signal Proc. Letters, 9 (2002), n.3, 81-84
• [7] Harris F.J., On the Use of Windows for Harmonic Analysis with Discrete Fourier Transform, Proc. IEEE, 66 (1978), n.1, 51-83
• [8] Nuttall A.H., Some Windows with Very Good Sidelobe Behavior, IEEE Trans. ASSP, 29 (1981), n.1, 84-91
• [9] Li X., Blind Image Quality Assessment, Proc. IEEE Conf.Image Proc., Rochester, USA (2002), 449-452
• [10] Marziliano P., Dufaux F., Winkler S., Ebrahimi T., A No-Reference Perceptual Blur Metric, Proc. IEEE Conf. Image Proc., Rochester, USA (2002), 57-60
• [11] Meesters L., Martens J.-B., Single-Ended Blockiness Measure for JPEG-Coded Images, Signal Processing, 82 (2002), n.3, 369-387