A Generalized Logarithmic Image Processing Model Based on the Gigavision Sensor Model

The logarithmic image processing (LIP) model is a mathematical theory providing generalized linear operations for image processing. The gigavision sensor (GVS) is a new imaging device that can be described by a statistical model. In this paper, by studying these two seemingly unrelated models, we de...

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Published in:IEEE transactions on image processing Vol. 21; no. 3; pp. 1406 - 1414
Main Author: Deng, Guang
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.03.2012
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:1057-7149, 1941-0042, 1941-0042
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Abstract The logarithmic image processing (LIP) model is a mathematical theory providing generalized linear operations for image processing. The gigavision sensor (GVS) is a new imaging device that can be described by a statistical model. In this paper, by studying these two seemingly unrelated models, we develop a generalized LIP (GLIP) model. With the LIP model being its special case, the GLIP model not only provides new insights into the LIP model but also defines new image representations and operations for solving general image processing problems that are not necessarily related to the GVS. A new parametric LIP model is also developed. To illustrate the application of the new scalar multiplication operation, we propose an energy-preserving algorithm for tone mapping, which is a necessary step in image dehazing. By comparing with results using two state-of-the-art algorithms, we show that the new scalar multiplication operation is an effective tool for tone mapping.
AbstractList The logarithmic image processing (LIP) model is a mathematical theory providing generalized linear operations for image processing. The gigavision sensor (GVS) is a new imaging device that can be described by a statistical model. In this paper, by studying these two seemingly unrelated models, we develop a generalized LIP (GLIP) model. With the LIP model being its special case, the GLIP model not only provides new insights into the LIP model but also defines new image representations and operations for solving general image processing problems that are not necessarily related to the GVS. A new parametric LIP model is also developed. To illustrate the application of the new scalar multiplication operation, we propose an energy-preserving algorithm for tone mapping, which is a necessary step in image dehazing. By comparing with results using two state-of-the-art algorithms, we show that the new scalar multiplication operation is an effective tool for tone mapping.
The logarithmic image processing (LIP) model is a mathematical theory providing generalized linear operations for image processing. The gigavision sensor (GVS) is a new imaging device that can be described by a statistical model. In this paper, by studying these two seemingly unrelated models, we develop a generalized LIP (GLIP) model. With the LIP model being its special case, the GLIP model not only provides new insights into the LIP model but also defines new image representations and operations for solving general image processing problems that are not necessarily related to the GVS. A new parametric LIP model is also developed. To illustrate the application of the new scalar multiplication operation, we propose an energy-preserving algorithm for tone mapping, which is a necessary step in image dehazing. By comparing with results using two state-of-the-art algorithms, we show that the new scalar multiplication operation is an effective tool for tone mapping.The logarithmic image processing (LIP) model is a mathematical theory providing generalized linear operations for image processing. The gigavision sensor (GVS) is a new imaging device that can be described by a statistical model. In this paper, by studying these two seemingly unrelated models, we develop a generalized LIP (GLIP) model. With the LIP model being its special case, the GLIP model not only provides new insights into the LIP model but also defines new image representations and operations for solving general image processing problems that are not necessarily related to the GVS. A new parametric LIP model is also developed. To illustrate the application of the new scalar multiplication operation, we propose an energy-preserving algorithm for tone mapping, which is a necessary step in image dehazing. By comparing with results using two state-of-the-art algorithms, we show that the new scalar multiplication operation is an effective tool for tone mapping.
Author Guang Deng
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Cites_doi 10.1016/S0165-1684(97)00011-X
10.1109/83.370681
10.1109/PROC.1968.6570
10.1364/JOSAA.7.002032
10.1109/ICCV.2009.5459251
10.1109/ICDSP.1997.627976
10.1109/TIP.2009.2016796
10.1023/A:1008277328822
10.1109/TIP.2006.881967
10.1109/TSMCB.2007.909440
10.1109/TIP.2010.2092441
10.1016/0165-1684(94)00102-6
10.1109/ICASSP.2009.4959778
10.1111/j.1365-2818.1994.tb04321.x
10.1111/j.1365-2818.1988.tb04559.x
10.5566/ias.v21.p121-125
10.1111/j.1365-2818.1989.tb02904.x
10.1155/2007/36105
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Issue 3
Keywords State of the art
Multiplication
Logarithmic function
Image processing
Measurement sensor
Imager
Generalized linear system (GLS)
Signal representation
Algorithm
Parametric method
Linear system
Tone mapping
Statistical model
Image representation
image tone mapping
logarithmic image processing (LIP) model
gigavision sensor (GVS) model
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References ref13
ref12
ref15
ref14
ref11
ref10
ref2
ref1
ref17
ref16
ref19
he (ref18) 2009
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref4
  doi: 10.1016/S0165-1684(97)00011-X
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  doi: 10.1109/83.370681
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  doi: 10.1109/PROC.1968.6570
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  doi: 10.1364/JOSAA.7.002032
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  doi: 10.1109/ICCV.2009.5459251
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  doi: 10.1109/ICDSP.1997.627976
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  doi: 10.1109/TIP.2009.2016796
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  doi: 10.1023/A:1008277328822
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  doi: 10.1109/TIP.2006.881967
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  doi: 10.1109/TSMCB.2007.909440
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  doi: 10.1109/TIP.2010.2092441
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  doi: 10.1016/0165-1684(94)00102-6
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  doi: 10.1109/ICASSP.2009.4959778
– start-page: 1956
  year: 2009
  ident: ref18
  article-title: Single image haze removal using dark channel prior
  publication-title: Proc IEEE Int Conf Comput Vis Pattern Recognit
– ident: ref9
  doi: 10.1111/j.1365-2818.1994.tb04321.x
– ident: ref1
  doi: 10.1111/j.1365-2818.1988.tb04559.x
– ident: ref10
  doi: 10.5566/ias.v21.p121-125
– ident: ref7
  doi: 10.1111/j.1365-2818.1989.tb02904.x
– ident: ref11
  doi: 10.1155/2007/36105
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SubjectTerms Algorithms
Applied sciences
Exact sciences and technology
Generalized linear system (GLS)
gigavision sensor (GVS) model
Histograms
Image edge detection
Image processing
image tone mapping
Information, signal and communications theory
Linear systems
logarithmic image processing (LIP) model
Mapping
Mathematical model
Mathematical models
Multiplication
Numerical models
Scalars
Sensors
Signal and communications theory
Signal processing
Signal representation. Spectral analysis
Signal, noise
Studies
Telecommunications and information theory
Transforms
Title A Generalized Logarithmic Image Processing Model Based on the Gigavision Sensor Model
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