A fast method for image noise estimation using Laplacian operator and adaptive edge detection
作者： Shen-Chuan Tai , Shih-Ming Yang
DOI: 10.1109/ISCCSP.2008.4537384
关键词:
摘要: We present a simple and fast algorithm for image noise estimation. The input is assumed to be corrupted by additive zero mean Gaussian noise. To exclude structures or details from contributing the variance estimation, edge detection using first-order gradients applied first. Then Laplacian operator followed an averaging over whole will provide very accurate There only one parameter which self-determined adaptive contents. Simulation results show that proposed performs well different types of images large range variances. Performance comparisons against other approaches are also provided.
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