Title :
Online adaptive histogram equalization
Author :
Martinez, Dominique
Author_Institution :
Lab. d´´Anal. et d´´Archit. des Syst., CNRS, Toulouse, France
fDate :
31 Aug-2 Sep 1998
Abstract :
It is well known that quantization degrades information. Therefore, it is much better to enhance the contrast based on the original analog signal at the image sensor. For combining quantization and histogram equalization, we propose a fully adaptive online technique and its analog switched-capacitor implementation. As a result, the equalized image is constructed sequentially during image scanning
Keywords :
adaptive signal processing; image coding; image reconstruction; learning (artificial intelligence); maximum entropy methods; neural nets; quantisation (signal); real-time systems; trees (mathematics); adaptive histogram equalization; equalized image; image coding; image reconstruction; image scanning; maximum entropy; neural nets; neural tree learning; real time systems; signal quantization; Adaptive equalizers; Concurrent computing; Data compression; Degradation; Digital images; Helium; Histograms; Image sensors; Quantization; Signal processing;
Conference_Titel :
Neural Networks for Signal Processing VIII, 1998. Proceedings of the 1998 IEEE Signal Processing Society Workshop
Conference_Location :
Cambridge
Print_ISBN :
0-7803-5060-X
DOI :
10.1109/NNSP.1998.710684
