Definition:In real-world scenarios, noise in color images may result from many sources, such as the underlying physics of the imaging sensor itself, sensor malfunction, flaws in the data transmission procedure, and electronic interference.
Although many sources of sensor noise can be significantly reduced, images are mainly affected by the corruption caused by photon shot noise and dark current shot noise resulting from the photo-electric process. Due to the complex nature of the noise process, the overall acquisition noise is usually modeled as a zero mean white Gaussian noise. Aside from this type of noise, image imperfections resulting from impulsive noise are generated during transmission through a communication channel, with sources ranging from human-made to natural. Thus, noise corruption process in simulated scenarios is usually modeled (Figure 1) [1, 2] using additive Gaussian noise, impulsive noise, or mixed noise.
Simulated color image noise: (a) original image,...
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References
R. Lukac, B. Smolka, K. Martin, K.-N. Plataniotis, and A.-N. Venetsanopulos, “Vector Filtering for Color Imaging,” IEEE Signal Processing Magazine; Vol. 22, No. 1, January 2005, pp. 74–86.
K.-N. Plataniotis and A.-N. Venetsanopoulos, Color Image Processing and Applications, Springer Verlag, Berlin, 2000.
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(2006). Color Image Noise. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/0-387-30038-4_25
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DOI: https://doi.org/10.1007/0-387-30038-4_25
Publisher Name: Springer, Boston, MA
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