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Logarithmic Type Image Processing Framework for Enhancing Photographs Acquired in Extreme LightingFLOREA, C. , FLOREA, L.
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digital cameras, image processing image enhancement, linear algebra
image(27), processing(24), logarithmic(13), florea(9), vision(7), model(7), enhancement(7), systems(5), signal(5), range(5)
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About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 97 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02016
Web of Science Accession Number: 000322179400016
SCOPUS ID: 84878914251
The Logarithmic Type Image Processing (LTIP) tools are mathematical models that were constructed for the representation and processing of gray tones images. By careful redefinition of the fundamental operations, namely addition and scalar multiplication, a set of mathematical properties are achieved. Here we propose the extension of LTIP models by a novel parameterization rule that ensures preservation of the required cone space structure. To prove the usability of the proposed extension we present an application for low-light image enhancement in images acquired with digital still camera. The closing property of the named model facilitates similarity with human visual system and digital camera processing pipeline, thus leading to superior behavior when compared with state of the art methods.
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