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- Michel Jourlin, Jean-Charles Pinoli
- Signal Processing
- 1995

- Jean-Charles Pinoli
- Journal of Mathematical Imaging and Vision
- 1997

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)

- Guang Deng, Jean-Charles Pinoli
- 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)

- Jean-Charles Pinoli
- Signal Processing
- 1997

- Johan Debayle, Jean-Charles Pinoli
- 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)

- Jean-Charles Pinoli, Johan Debayle
- EURASIP J. Adv. Sig. Proc.
- 2007

A new framework for image representation, processing, and analysis is introduced and exposed through practical applications. The proposed approach is called logarithmic adaptive neighborhood image processing (LANIP) since it is based on the logarithmic image processing (LIP) and on the general adaptive neighborhood image processing (GANIP) approaches, that… (More)

- Helene Gouinaud, Yann Gavet, Johan Debayle, Jean-Charles Pinoli
- 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)

- Yann Gavet, Jean-Charles Pinoli
- 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)

- Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
- 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)

- Yann Gavet, Mathieu Fernandes, Jean-Charles Pinoli
- J. Electronic Imaging
- 2012

In human retina observation (with non mydriatic optical microscopes), an image registration process is often employed to enlarge the field of view. Analyzing all the images takes a lot of time. Numerous techniques have been proposed to perform the registration process. Its good evaluation is a difficult question that is then raising. This article presents… (More)