Image Quality Assessment for Performance Evaluation of Focus Measure Operators

Autor:	Memon, Farida, Unar, Mukhtiar Ali, Memon, Sheeraz
Rok vydání:	2016
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	This paper presents the performance evaluation of eight focus measure operators namely Image CURV (Curvature), GRAE (Gradient Energy), HISE (Histogram Entropy), LAPM (Modified Laplacian), LAPV (Variance of Laplacian), LAPD (Diagonal Laplacian), LAP3 (Laplacian in 3D Window) and WAVS (Sum of Wavelet Coefficients). Statistical matrics such as MSE (Mean Squared Error), PNSR (Peak Signal to Noise Ratio), SC (Structural Content), NCC (Normalized Cross Correlation), MD (Maximum Difference) and NAE (Normalized Absolute Error) are used to evaluate stated focus measures in this research. . FR (Full Reference) method of the image quality assessment is utilized in this paper. Results indicate that LAPD method is comparatively better than other seven focus operators at typical imaging conditions. Comment: 8 pages, Mehran University Research Journal of Engineering and Technology, Vol. 34, No. 4, 2015
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1604.00546 Zobrazit plný text záznamu View this record from Arxiv