Image contrast enhancement via blurred weighted adaptive histogram equalization

John M. Gauch

doi:10.1117/12.50394

1 November 1991 Image contrast enhancement via blurred weighted adaptive histogram equalization

John M. Gauch

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50394
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

This paper describes how a family of images of varying levels of contrast can be efficiently calculated and displayed. We show that a contrast space defined in terms of histogram equalization can be specified in terms of two parameters: region size and histogram blurring level. Based on these observations, we describe one exact algorithm and two efficient algorithms for computing sequences of images within this contrast space. These precomputed images can be displayed and interactively explored to examine image features of interest. By working with a family of contrast enhanced images the difficult task of selecting the single level of contrast enhancement appropriate for a particular image is avoided, increasing the usefulness of low contrast images.

Citation Download Citation

John M. Gauch "Image contrast enhancement via blurred weighted adaptive histogram equalization", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50394

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