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A local neural implementation of histogram equalization
IEEE International Conference on Neural Networks, 2002Histogram equalization is a technique for optimizing the utilization of quantization levels-typically in connection with the processing of visual images. A generalized version of histogram equalization as a model for contextual processing in neural networks is advanced.
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Histogram equalization of CT images.
Radiology, 1985Histogram equalization for display of clinical CT images was evaluated. In theory, histogram equalization makes optimal use of an available grey scale to display an image, and its use could circumvent the problem of selecting specific window settings for each image.
J L, Lehr, P, Capek
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Algorithms For Adaptive Histogram Equalization
SPIE Proceedings, 1986Adaptive histogram equalization (ahe) is a contrast enhancement method designed to be broadly applicable and having demonstrated effectiveness [Zimmerman, 1985]. However, slow speed and the overenhancement of noise it produces in relatively homogeneous regions are two problems.
Stephen M. Pizer +6 more
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Online adaptive histogram equalization
Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378), 2002It 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.
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Cross-entropy Histogram Equalization
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014Mehdi Roopaei +3 more
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Multidimensional Histogram Equalization and Modification
14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007A. J. McCollum, W. F. Clocksin
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An advanced contrast enhancement using partially overlapped sub-block histogram equalization
IEEE Transactions on Circuits and Systems for Video Technology, 2001Lee-Sup Kim
exaly

