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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Vydané v:IEEE transactions on image processing Ročník 21; číslo 3; s. 1406 - 1414
Hlavný autor: Deng, Guang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York, NY IEEE 01.03.2012
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
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
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
ISSN:1057-7149, 1941-0042, 1941-0042
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Popis
Shrnutí: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.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2011.2166970