Results 141 to 150 of about 112,016 (186)

Recursive sub-image histogram equalization applied to gray scale images

open access: yesPattern Recognition Letters, 2007
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
exaly   +2 more sources
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Hesitancy Histogram Equalization

2007 IEEE International Fuzzy Systems Conference, 2007
Extending 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
openaire   +2 more sources

Study on Histogram Equalization

2011 2nd International Symposium on Intelligence Information Processing and Trusted Computing, 2011
This 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
openaire   +1 more source

Interactive histogram equalization

Pattern Recognition Letters, 1990
Abstract 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
openaire   +2 more sources

Preserving brightness in histogram equalization based contrast enhancement techniques [PDF]

open access: yes, 2004
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
exaly   +2 more sources

On the equalization of keystroke timing histograms

Pattern Recognition Letters, 2006
The 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
openaire   +2 more sources

Brightness Preserving Generalized Histogram Equalization

2020 IEEE REGION 10 CONFERENCE (TENCON), 2020
Histogram 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
openaire   +1 more source

Quantized bi-histogram equalization

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
Histogram 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, 2010
Following 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
openaire   +1 more source

An Alternative Algorithm for Adaptive Histogram Equalization

Graphical Models and Image Processing, 1996
Adaptive 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
openaire   +1 more source

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