Non-additive imprecise image super-resolution

Farès Graba 1 Frédéric Comby 1 Olivier Strauss 1
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : This paper presents a new iterative image super-resolution technique. Its main feature is its ability to account for a lack of knowledge of the so called Point Spread Function (PSF) of the imager. This ability is based on representing the illknown PSF by mean of a maxitive kernel, i.e. an imprecise PSF. It also uses the nice properties of a fuzzy partition of the image plane for defining projection and back-projection operators whose particularity is to output interval-valued images instead of precise valued ones. Those operators transfer the imprecise knowledge on the PSF to the output imprecision. We propose some experiments illustrating the robustness of our approach with respect to the registration errors and its performance compared to very competitive earlier approaches.
Document type :
Conference papers
Complete list of metadatas

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01231497
Contributor : Frédéric Comby <>
Submitted on : Friday, November 20, 2015 - 1:47:15 PM
Last modification on : Friday, August 30, 2019 - 10:56:02 AM

Identifiers

Collections

Citation

Farès Graba, Frédéric Comby, Olivier Strauss. Non-additive imprecise image super-resolution. ICIP: International Conference on Image Processing, Oct 2014, Paris, France. pp.3882-3886, ⟨10.1109/ICIP.2014.7025788⟩. ⟨lirmm-01231497⟩

Share

Metrics

Record views

286