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This paper presents the performance evaluation of eight focus measureoperators 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 ofWavelet Coefficients). Statistical matrics such as MSE (Mean Squared Error),PNSR (Peak Signal to Noise Ratio), SC (Structural Content), NCC (NormalizedCross Correlation), MD (Maximum Difference) and NAE (Normalized Absolute Error)are used to evaluate stated focus measures in this research. . FR (FullReference) method of the image quality assessment is utilized in this paper.Results indicate that LAPD method is comparatively better than other sevenfocus operators at typical imaging conditions.

Image Quality Assessment for Performance Evaluation of Focus Measure Operators