1 June 1996 Statistical noise simulation for image processing purposes
Author Affiliations +
There are several image processing algorithms for enhancement, restoration, segmentation or feature extraction that assume known statistical distribution for the noise from a corrupted image. Usually this noise is considered uncorrelated, but there are many cases where the strength of a certain algorithm must be tested for spatially correlated noise. Our main point is to derive a method for controlling the autocorrelation function of gamma distributed noise images. The exponential case is included. An uncorrelated noise generating algorithm that yields Gaussian, exponential and gamma distributed images of a good statistical quality is also presented.
Adriana Vlad, Adriana Vlad, Marin Ferecatu, Marin Ferecatu, Paul Oprisan, Paul Oprisan, } "Statistical noise simulation for image processing purposes," Optical Engineering 35(6), (1 June 1996). https://doi.org/10.1117/1.600762 . Submission:


A fast matching algorithm based on local gradient histograms
Proceedings of SPIE (October 14 2012)
Robust watermarking using robust coefficients
Proceedings of SPIE (May 08 2000)
Block median filters
Proceedings of SPIE (June 15 1995)

Back to Top