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Brightness Preserving Generalized Histogram Equalization
2020 IEEE REGION 10 CONFERENCE (TENCON), 2020Histogram equalization (HE) is the one of the simplest and most effective methods for contrast enhancement. It can automatically define the gray-level transformation function based on the distribution of gray-level included in the image. However, HE fails to produce satisfactory results for broad range of low-contrast images because the HE does not use
Hideaki Tanaka, Akira Taguchi
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Quantized bi-histogram equalization
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002Histogram equalization is a widely used scheme for contrast enhancement in a variety of applications due to its simple function and effectiveness. One possible drawback of the histogram equalization is that it can change the mean brightness of an image significantly as a consequence of histogram flattening.
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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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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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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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An Alternative Algorithm for Adaptive Histogram Equalization
Graphical Models and Image Processing, 1996Adaptive histogram equalization has become well-established as a technique for enhancing contrast in images. This paper investigates an alternative formulation of histogram equalization. An implementation of this is presented. The resulting algorithm involves the application of a filter to a set of image fields, and the potential for filtering these ...
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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Gaussian Distributive Filtering in Histogram Equalization
2010 International Conference on Broadband, Wireless Computing, Communication and Applications, 2010Following the rapid advances in digital technologies, more and more consumer electronic devices, such as cell phones and PDAs, are equipped with built-in camera modules. In order to be cost-effective, optoelectronics components used in such devices are usually not sophisticated enough to support professional photographing.
Ping-Hsien Lin +2 more
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Morphological feature extraction with local histogram equalization
2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015In this work, success of image feature extraction based on morphological is examined by various histogram equalization techniques. In comparison process, traditional histogram equalization, adaptive histogram equalization and local histogram equalization methods are used.
Mehmet Cem Catalbas +2 more
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