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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 normalization
Biometrics
Digital image
Digital signal processing
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
A versatile edge preserving image enhancement approach for medical images using guided filter
Rahul Rajendran
,
S. P. Rao
,
S. Agaian
,
K. Panetta
IEEE International Conference on Systems, Man and…
2016
Corpus ID: 27159807
Medical imaging systems often require image enhancement to visualize images of the human body and its organs. This would help…
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2015
2015
Transistor reliability variation correlation to threshold voltage
S. Ramey
,
M. Chahal
,
P. Nayak
,
S. Novak
,
C. Prasad
,
Jeffery Hicks
IEEE International Reliability Physics Symposium
2015
Corpus ID: 26448079
MOSFET reliability data are often represented as a function of gate overdrive (VG-VT) with the implicit assumption that overdrive…
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2013
2013
Illumination Normalization Based on Homomorphic Wavelet Filtering for Face Recognition
Xue Yuan
,
Yifei Meng
,
Xueye Wei
Journal of information science and engineering
2013
Corpus ID: 16087028
The performance of face recognition techniques is greatly challenged by the pose, expression and illumination of the image. For…
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2011
2011
Image enhancement technique based on improved PSO algorithm
Qinqing Gao
,
C. Dexin
,
Zeng Guangping
,
He Ketai
IEEE Conference on Industrial Electronics and…
2011
Corpus ID: 14347936
In this paper, image enhancement is considered as an optimization problem and improved PSO(Particle Swarm Optimization) is used…
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Highly Cited
2011
Highly Cited
2011
Spatio-Temporal Retinex-Inspired Envelope with Stochastic Sampling: A Framework for Spatial Color Algorithms
Øyvind Kolås
,
I. Farup
,
A. Rizzi
2011
Corpus ID: 55104653
This is the copy of journal's version originally published in Journal of Imaging Science and Technology. Reprinted with…
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Highly Cited
2009
Highly Cited
2009
Transforming traditional iris recognition systems to work on non-ideal situations
Zhi Zhou
,
Yingzi Du
,
C. Belcher
IEEE Workshop on Computational Intelligence in…
2009
Corpus ID: 4524992
Non-ideal iris images can significantly affect the accuracy of iris recognition systems for two reasons: 1) they cannot be…
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Highly Cited
2009
Highly Cited
2009
Scanner Identification Using Feature-Based Processing and Analysis
N. Khanna
,
Aravind K. Mikkilineni
,
E. Delp
IEEE Transactions on Information Forensics and…
2009
Corpus ID: 13748585
Digital images can be obtained through a variety of sources including digital cameras and scanners. In many cases, the ability to…
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Highly Cited
2007
Highly Cited
2007
Forensic classification of imaging sensor types
N. Khanna
,
Aravind K. Mikkilineni
,
G. Chiu
,
J. Allebach
,
E. Delp
Electronic imaging
2007
Corpus ID: 13319604
Digital images can be captured or generated by a variety of sources including digital cameras and scanners. In many cases it is…
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Highly Cited
2006
Highly Cited
2006
COIN-O-MATIC: A fast system for reliable coin classification
L. Maaten
,
P. Boon
2006
Corpus ID: 9075650
Systems that perform fast and reliable classification of heterogeneous coin collections can be beneficial to charity…
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Highly Cited
1991
Highly Cited
1991
Classification of facial features for recognition
M. Shackleton
,
W. Welsh
Proceedings. IEEE Computer Society Conference on…
1991
Corpus ID: 11500685
A facial feature classification technique that independently captures both the geometric configuration and the image detail of a…
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