Separation of superimposed images with subpixel shift

Abstract : The problem of the separation of superimposed images is considered in the particular case of a steady background, and a foreground that is composed of different patterns separated in space, and each with a compact support. Each pattern of the foreground may move in time independently. A single pair of these superimposed images is assumed to be available, and the displacement amplitude is typically smaller than the pixel size. Further assuming that the background is smoothly varying in space, an original algorithm is proposed. To illustrate the performance of the method, a real test case of X-ray tomographic radiographs with moving patterns due to dust particles or surface scratches of optical elements along the beam is considered. Finally an automatic and simple treatment is proposed to erase the effect of such features.
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01674341
Contributor : Clément Jailin <>
Submitted on : Tuesday, January 2, 2018 - 1:54:04 PM
Last modification on : Saturday, May 18, 2019 - 1:14:48 AM
Long-term archiving on : Thursday, May 3, 2018 - 10:59:25 AM

File

JSR_main.pdf
Files produced by the author(s)

Identifiers

Citation

Clément Jailin, Martin Poncelet, Stéphane Roux. Separation of superimposed images with subpixel shift. Journal of Synchrotron Radiation, International Union of Crystallography, 2018, 25 (1), pp.272-281. ⟨10.1107/S1600577517015892⟩. ⟨hal-01674341⟩

Share

Metrics

Record views

228

Files downloads

209