Journal Achievements of Modern Radioelectronics №1 for 2018 г.
Article in number:
Application rank filter with a spatially adaptive neighborhoods to enhance local contrasts analyzed image
Type of article: scientific article
UDC: 621.396
Keywords: rank algorithm adaptive algorithm of unsharp masking contrast local contrast normalizing function binary mask of belonging to the window elements additive noise operator of rank smoothing.
Authors:

M.H. Aksyaitov – Head of Research and Production Center, JSC «Сoncern «Granit-Electron» (St. Petersburg)

E.V. Egorova – Ph.D. (Eng.), Associate Professor, Department of Telecommunication Systems, Moscow Technological University (MIREA) Е-mail: calipso575@gmail.com 

M.Y. Savich – Leading Expert, Dukhov Research Institute of Automatics (Moscow)

A.N. Rybakov – Leading Engineer, Dukhov Research Institute of Automatics (Moscow)

Abstract:

The classes of algorithms developed on the basis of two different models of combining the components of the parts and the background are defined and describe the additive model and the switchable model. The class of algorithms of differential type for contrast enhancement is analyzed; algorithms for increasing local contrast based on rank filters with spatially adaptive neighborhoods. The disadvantages of the linear function in describing ranking algorithms using a local smoothing operation are revealed.

Pages: 61-72
References
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Date of receipt: 24 ноября 2017 г.