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The model of additive noise of digital high spatial resolution images
Author(s): Konstantin Rumyantsev; Sergey Kravtsov
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Paper Abstract

The analysis of additive noise of digital images of high spatial resolution is presented. To isolate additive noise, the approach of the difference signal of a series of real color images is used. The nonuniformity of the distribution of the intensity of additive noise along the image field of high spatial resolution is shown. It is concluded that the widespread model of stationary Gaussian white noise is limited for digital images of high spatial resolution.

Paper Details

Date Published: 9 August 2018
PDF: 7 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080632 (9 August 2018); doi: 10.1117/12.2502965
Show Author Affiliations
Konstantin Rumyantsev, Southern Federal Univ. (Russian Federation)
Sergey Kravtsov, Southern Federal Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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