A gray-level transformation-based method for image enhancement

A. Raji

doi:10.1016/S0167-8655(98)00109-3

A gray-level transformation-based method for image enhancement

1998-11-01

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DOI：10.1016/S0167-8655(98)00109-3

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In this paper, we present a gray-level modification method which allows us to enhance the image contrast as well as to improve the homogeneity of the regions in the image. It is based on an optimal classification of the image gray-levels, followed by a local parametric gray-level transformation applied to the obtained classes. By means of two parameters representing, respectively a homogenization coefficient (r) and a desired number (n) of classes in the output image, we introduce a new family of monotonic gray-level transformations ranging from the simple linear transformation of the input histogram to the multi-level thresholding function. The proposed method is compared to the usual image enhancement methods. (C) 1998 Elsevier Science B.V. All rights reserved.

Keyword:

image enhancement

parameter-dependent transformation

thresholding

classification

A gray-level transformation-based method for image enhancement

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