Abstract
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.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
