@inproceedings{77e797f7a88b4041a1584f7d64896758,
title = "λ-Enhancement: Contrast adaptation based on optimization of image fuzziness",
abstract = "The contrast improvement of the digital images is an important task in image processing and machine vision. The gray-level modification is one of the most popular methods to perform image enhancement because it is simple in implementation and fast in computing. Since the selection of a suitable mathematical function for the gray-level transformation depends on the specific grayness properties of the image, it is necessary to develop some techniques for automatic selection of an appropriate function. In this work, we introduce a new algorithm for contrast adaptation (λ-enhancement) which is based on involutive fuzzy complements and measures of fuzziness. Regarding to the amount of grayness ambiguity the proposed technique detects the suitable form of the gray-level modification in the set of involutive membership function generated by parameter λ.",
keywords = "fuzzy complements, fuzzy set theory, image enhancement, measures of fuzziness",
author = "Tizhoosh, {H. R.} and G. Krell and B. Michaelis",
note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 ; Conference date: 04-05-1998 Through 09-05-1998",
year = "1998",
doi = "10.1109/FUZZY.1998.686349",
language = "English (US)",
isbn = "078034863X",
series = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1548--1553",
booktitle = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",
}