# Jean-Charles Pinoli

The logarithmic image processing (LIP) model is amathematical framework based on abstract linear mathematicswhich provides a set of specific algebraic and functionaloperations that can be applied to the processing of intensityimages valued in a bounded range. The LIP model has been provedto be physically justified in the setting of transmitted lightand to(More)
• 2
• Journal of Mathematical Imaging and Vision
• 1998
The logarithmic image processing (LIP) model is a mathematical framework which provides a specific set of algebraic and functional operations for the processing and analysis of intensity images valued in a bounded range. The LIP model has been proved to be physically justified by that it is consistent with the multiplicative transmittance and reflectance(More)
• 1
• 2011 7th International Symposium on Image and…
• 2011
The Logarithmic Image Processing (LIP) approach is a mathematical framework developed for the representation and processing of images valued in a bounded intensity range. The LIP theory is physically and psychophysically well justified since it is consistent with several laws of human brightness perception and with the multiplicative image formation model.(More)
• 1
• Int. J. Biomedical Imaging
• 2014
The cornea is the front of the eye. Its inner cell layer, called the endothelium, is important because it is closely related to the light transparency of the cornea. An in vivo observation of this layer is performed by using specular microscopy to evaluate the health of the cells: a high spatial density will result in a good transparency. Thus, the main(More)
• VISAPP
• 2009
A method for spatial registering pairs of digital images of the retina is presented, using intrinsic feature points (landmarks) and dense local transformation. First, landmarks, i.e. blood vessel bifurcations, are extracted from both retinal images using filtering followed by thinning and branch point analysis. Correspondances are found by topological and(More)
• Journal of Mathematical Imaging and Vision
• 2006
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The General Adaptive Neighborhood (GAN) paradigm, theoretically introduced in Part I [20], allows the building of new image processing transformations using context-dependent(More)
• J. Electronic Imaging
• 2012
Quantitative evaluation of image registration techniques in the case of retinal images. HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research(More)
• IEEE International Conference on Image Processing…
• 2005
The purpose of this paper is to extend the theory of mathematical morphology to the paradigm of adaptive neighborhood, dealing with multiscale image processing. The basic idea in this approach is to substitute the extrinsically-defined fixed-shape, fixed-size structuring elements generally used for morphological operators, by intrinsically-defined variable(More)