By Peter W. Hawkes (Ed.)
This quantity comprises chapters discussing photograph enhancement and propagation, and box behaviour in hugely anisotropic media. it truly is meant for researchers in optical technological know-how, electric engineering, snapshot processing and mechanical engineering.
Read or Download Advances in Imaging and Electron Physics, Vol. 92 PDF
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Additional info for Advances in Imaging and Electron Physics, Vol. 92
More generally, p,, can be considered as the , supposed to be uniform and affected by estimation of the gray value of U,, noise having a certain distribution. Although the optimum estimates differ , the average and the depending on the gray-value distribution inside U,, median Mu represent good estimates in several concrete cases. b a m-'2 2 2 0 2 2 2 Lpixel U FIGURE 16. (a) Observation window U and its one-dimensional subwindows U , , . , 4 , considered in multistage filters. , T ) containing the current pixel p , which can be inscribed in an L x L window.
A representative set of contrast enhancement methods has been tentatively chosen out of the vast literature on this subject, and these methods have been subdivided into classes characterized by typical approaches. However, a neat distinction between classes is not always possible. Similarly, it is sometimes not easy to distinguish, based only on the effects produced upon an image, between a contrast enhancement and a shading compensation method. , it implies generally a global gray-value shift, which eventually undergoes a partial compensation, while in the former the local average is not altered.
Considerable, it would better conform with the image structure to assign a decreasing influence to pixels which are located farther from the current pixel. The method of Gauch (1992) aims at obviating these disadvantages. The approach used for performing the local equalization is the same as in Section I1,B. It utilizes the cumulative gray-value distribution function IfL@), where the integer g (0 Ig IG - 1) is the gray value, as the input/output gray-value transformation function for determining the enhanced gray value u(x, y).