Results 141 to 150 of about 112,016 (186)
Recursive sub-image histogram equalization applied to gray scale images
A novel recursive sub-image histogram equalization (RSIHE) is developed to overcome the drawbacks of generic histogram equalization (HE) for gray scale images.
K S Sim
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Hesitancy Histogram Equalization
2007 IEEE International Fuzzy Systems Conference, 2007Extending our previous work on intuitionistic fuzzy histograms [1], we introduce the concept of hesitancy histogram and its application for enhancing low-contrasted images. The hesitancy histogram is based on intuitionistic fuzzy numbers using an entropic optimization criterion.
Ioannis K. Vlachos, George D. Sergiadis
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Study on Histogram Equalization
2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing, 2011This paper does some study on histogram equalization. Especially, the examples of histogram equalization on the image show the difference of using two different mapping methods respectively.
Zhihong Wu, Xiaohong Xiao
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Interactive histogram equalization
Pattern Recognition Letters, 1990Abstract Adaptive Histogram Equalization (AHE) often introduces artifacts, for example at the edges of relatively homogeneous regions. In this contribution we propose a variation of global histogram equalization, that avoids these artifacts. The method which is called Interactive Histogram Equalization (IHE) is based on a simpler calculation than AHE.
B. C. Stoel +5 more
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Preserving brightness in histogram equalization based contrast enhancement techniques [PDF]
Histogram equalization (HE) has been a simple yet effective image enhancement technique. However, it tends to change the brightness of an image significantly, causing annoying artifacts and unnatural contrast enhancement.
Abd Rahman Ramli
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On the equalization of keystroke timing histograms
Pattern Recognition Letters, 2006The effect of parametric equalization of time interval histograms (key down-down intervals) on the performance of keystroke-based user verification algorithms is analyzed. Three algorithms are used throughout this analysis: a classic one for static (structured) texts, a second one, also proposed in literature, for both static and arbitrary (free) text,
Jugurta R. Montalvão Filho +1 more
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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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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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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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