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On-Line Histogram Equalization for Flash ADC
2007 IEEE International Symposium on Circuits and Systems, 2007The authors present theory, design and measurement results for an online histogram equalization algorithm implemented on a 750MS/s 6b flash analog to digital converter in standard 0.35mum CMOS. The user simply turns on "training mode" for a few seconds, while the algorithm automatically adjusts comparator levels to match the observed input signal ...
Yanyi Liu Wong +2 more
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Color compensation of histogram equalized images
SPIE Proceedings, 2009We present a color correction algorithm for histogram equalized images captured by a digital camera. Current color correction methods are based on human color perception of luminance and hue. However, these techniques do not consider nonlinear camera characteristics, therefore the resulting color images show color distortions where brightness ...
Hee-Won Lee +2 more
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Regionally Adaptive Histogram Equalization of the Chest
IEEE Transactions on Medical Imaging, 1987Advances in the area of digital chest radiography have resulted in the acquisition of high-quality images of the human chest. With these advances, there arises a genuine need for image processing algorithms specific to the chest, in order to fully exploit this digital technology.
R H, Sherrier, G A, Johnson
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Model-based adaptive histogram equalization
Signal Processing, 1994Abstract 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.
J. Alex Stark +1 more
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Energy-efficient histogram equalization on FPGA
2014 IEEE High Performance Extreme Computing Conference (HPEC), 2014Histogram equalization is a common kernel used for image processing, a widely-used procedure for many present-day applications. Much of the work done emphasizes throughput and area-efficient designs, yet energy efficiency is a relatively untapped field.
Andrea Sanny +2 more
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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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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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