IPOL Journal · Image Processing On Line
- published
- 2012-03-23
- reference
- Mauricio Delbracio, Pablo Musé, and Andrés Almansa, Non-parametric Sub-pixel Local Point Spread Function Estimation, Image Processing On Line, 2 (2012), pp. 8–21. https://doi.org/10.5201/ipol.2012.admm-nppsf
Communicated by Sylvain Durand
Demo edited by Mauricio Delbracio
Abstract
This work presents an algorithm for the local subpixel estimation of the Point Spread Function (PSF) that models the intrinsic camera blur. For this purpose, the Bernoulli(0.5) random noise calibration pattern introduced in a previous article is used. This leads to a well-posed near-optimal accurate estimation. First the pattern position and its illumination conditions are accurately estimated. This allows for accurate geometric registration and radiometric correction. Once these procedures are performed, the local PSF can be directly computed by inverting a linear system. This system is well-posed and consequently its inversion does not require any regularization or prior model. The PSF estimates reach stringent accuracy levels with a relative error in the order of 2 to 5%.
Download
- full text manuscript: PDF (1.6M)
- source code: TAR/GZ
Supplementary Materials
History
- this article was converted to PDF on 2012-09-14
- the original version was published on 2012-03-23: manuscript, source code
- Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.
