Human optic sensitivity computation based on singular value decomposition

• Autorzy: Amirshahi S A , Torkamani-Azar F
• Języki publikacji: EN

Słowa kluczowe

EN

image processing; image complexity; singular value decomposition; sensitivity parameter

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2012
• Tom: Vol. 42, nr 1
• Strony: 137--146
• Opis fizyczny: Bibliogr. 8 poz.

Twórcy

autor

Amirshahi S A

autor

Torkamani-Azar F

• Chair of Computer Vision, Friedrich Schiller University, Jena, Germany

Bibliografia

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• [3] ZHANG P., ZHAO S., PENG S., A texton-based algorithm of texture image segmentation, Journal of Image and Graphics 8, 2003, pp. 896–901.
• [4] BANERJEE S., MUKHERJEE D.P., DUTTA MAJUMDAR D., Fuzzy c-means approach to tissue classification in multimodal medical imaging, Information Sciences 115(1–4), 1991, pp. 261–279.
• [5] GONZALEZ R.C., WOODS R.E., Digital Image Processing, Prentice-Hall, NJ, 2nd Edition, 2002.
• [6] SHEIKH H.R., WANG Z., CORMACK L., BOVIK A.C., Live Image Quality Assessment Database, Release 2005, http://live.ece.utexas.edu/research/quality.
• [7] SHEIHK H.R., BOVIK A.C., DE VECIANA G., An information fidelity criterion for image quality assessment using natural scene statistics, IEEE Transactions on Image Processing 14(12), 2005,pp. 2117–2128.
• [8] ZHOU WANG, BOVIK A.C., A universal image quality index, IEEE Signal Processing Letters 9(3), 2002,pp. 81–84.