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Normalization (image processing)

Known as: Contrast stretching, Normalization 
In image processing, normalization is a process that changes the range of pixel intensity values. Applications include photographs with poor contrast… 
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Related topics

Related topics

15 relations
Audio normalizationBiometricsDigital imageDigital signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
An Improved Cuckoo Search based Optimal Ranged Brightness Preserved Histogram Equalization and Contrast Stretching Method
This paper is organized into two main parts. In the first part, two methods have been discussed to preserve the original… 
2016
2016
Design of data dependent filter bank using sequential matrix diagonalization algorithm
Subband coding (SBC) is a one of the popular application to filter banks to achieve multi-channel data compression. There are… 
2015
2015
Diversity Conserved Chaotic Artificial Bee Colony Algorithm based Brightness Preserved Histogram Equalization and Contrast Stretching Method
This study is organized into two parts. The first part introduces two image enhancement methods with the ability to preserve the… 
2013
2013
A Dynamically Reconfigurable Pixel Processor System Based on Power/Energy-Performance-Accuracy Optimization
We introduce a dynamically reconfigurable framework for implementing single-pixel operations. The system relies on a… 
2011
2011
Document Flash Thermography
This paper presents an extension of flash thermography techniques to the analysis of documents. Motivation for this research is… 
2010
2010
Text normalization based on statistical machine translation and internet user support
In this paper, we describe and compare systems for text normalization based on statistical machine translation (SMT) methods… 
2010
2010
Human detection using Histogram of oriented gradients and Human body ratio estimation
Recent research has been devoted to detecting people in images and videos. In this paper, a human detection method based on… 
Highly Cited
2009
Highly Cited
2009
Transforming traditional iris recognition systems to work on non-ideal situations
Non-ideal iris images can significantly affect the accuracy of iris recognition systems for two reasons: 1) they cannot be… 
2009
2009
Contrast enhancement for medical images based on histogram equalization followed by median filter
The goal of image enhancement technique is to improve a characteristics or quality of an image, such that the resulting image is… 
2003
2003
Binary Shape Normalization Using the Radon Transform
This paper presents a novel approach to normalize binary shapes which is based on the Radon transform. The key idea of the paper… 
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