Model-Based Histogram Equalization

J.A. Stark and W.J. Fitzgerald

Signal Processing, 39:193-200 (1994)

Adaptive histogram equalization techniques have been used successfully in a variety of applications for improving local contrast in images. In this paper we take a model-based approach to the analysis of histogram equalization algorithms. On this basis statistical properties can be derived and used to find objective and optimal filters. We also present a fast approximate algorithm which generalizes to a wider class of grey-level mappings that are functions of local statistics.