Image Enhancement Thanks to Negative Grey Levels in the Logarithmic Image Processing Framework

The present study deals with image enhancement, which is a very common problem in image processing. This issue has been addressed in multiple works with different methods, most with the sole purpose of improving the perceived quality. Our goal is to propose an approach with a strong physical justifi...

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Vydáno v:Sensors (Basel, Switzerland) Ročník 24; číslo 15; s. 4969
Hlavní autor: Jourlin, Michel
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland MDPI AG 01.08.2024
Témata:
Algorithms
enhancement
Fourier transforms
full dynamic range
Image processing
Light
logarithmic image processing
Mammography
negative grey level
Sensors
full dynamic range
logarithmic image processing
image
enhancement
negative grey level
ISSN:1424-8220, 1424-8220
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Shrnutí:The present study deals with image enhancement, which is a very common problem in image processing. This issue has been addressed in multiple works with different methods, most with the sole purpose of improving the perceived quality. Our goal is to propose an approach with a strong physical justification that can model the human visual system. This is why the Logarithmic Image Processing (LIP) framework was chosen. Within this model, initially dedicated to images acquired in transmission, it is possible to introduce the novel concept of negative grey levels, interpreted as light intensifiers. Such an approach permits the extension of the dynamic range of a low-light image to the full grey scale in “real-time”, which means at camera speed. In addition, this method is easily generalizable to colour images and is reversible, i.e., bijective in the mathematical sense, and can be applied to images acquired in reflection thanks to the consistency of the LIP framework with human vision. Various application examples are presented, as well as prospects for extending this work.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24154969