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Automatic gradation correction of video information
P. A. Chochia

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Pages: 37-45.

Full text of article: Russian language.

Abstract:
The problem of automatic gradation correction of video information received in the form of static or motion images is one of the least studied theoretically, despite the fact that it is given attention in almost every monograph devoted to image processing. In the classical setting, this task is associated with the general issue of image improvement [1-3], and is often formulated as the development of histogram modification algorithms. However, the traditional approach based on the analysis of the histogram of the resulting image only [4-7] is not able to offer a satisfactory solution to the problem, this is associated with a very significant effect of the image scene on the histogram view, and therefore on the form of the gradation transformation of signal.
The major difficulties in the study of this issue are related to the lack of formal criteria of image quality: by far, the most widely used criterion for such an assessment is visual perception and experience. As a result, the problem of finding any measurable characteristics of real images that could form the basis for the development of the gradation correction function (sometimes called the gamma correction function) still has not been resolved.
The aim of this work is to develop the automatic methods for image enhancement by using gradation correction under the conditions when there is no a priori information on the type of gradation distortion of the image, and only the received image (supposedly distorted) can be used as the source of information.

Citation:
Chochia PA. Automatic gradation correction of video information. Computer Optics 1995; 14-15(1): 37-45.

References:
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