RECONSTRUCTION OF IMAGES WITH LARGE NON-UNIFORM INCREMENTS
Melnyk, SI, Melnyk, SS |
Organization: O. Ya. Usikov Institute for Radiophysics and Electronics of the National Academy of Sciences of Ukraine |
https://doi.org/10.15407/rej2016.01.077 |
Language: Russian |
Abstract: In recent years, the range of tasks related to the study of structures image elements of which are beyond the resolution of matrix type sensors is becoming wider. Thus, the problem of their reconstruction by applying algorithmic and information image processing techniques is relevant. The problems emerging when observing objects whose dimensions do not exceed several pixels of matrix of recorders have been considered. It is shown that motion of the object relative to the matrix and the use of multiple consecutive frames allow to improve the fidelity of shape and true size of the object. This measurement information can be represented as integrals along the trajectories on a three-dimensional lattice of space-time pixels. The reconstruction of a heterogeneity function of pixels through the use of the controlled motion of the test object and methods of computer tomography. The possibility of determining the relative velocity of the object in each of the frames using the blind method has been shown. The algorithm of reconstructing images with large non-uniform increment during their arbitrary and controlled relative motion has been elaborated. |
Keywords: IR camera, large discretization, restoration of «blurred» images |
Manuscript submitted 18.12.2015
PACS 07.05.Pj
Radiofiz. elektron. 2016, 21(1): 77-84
Full text (PDF)
- Lagendijk R. L. and Biemond, J., 1999. Basic methods for image restoration and identification [pdf]. Available at: http://www-inst.eecs.berkeley.edu/~ee225b/sp07/handouts/Image_Restoratio...
- Тikhonov, А. N. and Аrsenin, V. Ya., 1979. Solution Techniques for Incorrect Problems. Moscow: Nauka Publ. (in Russian).
- Testo Thermal Imaging Cameras: new opportunities. SuperResolution technology, [pdf]. Available at: http://kip-postavka.ru/testo_cat/SuperResolution.pdf (in Russian).
- Morozov, V. А., 2003. Algorithmic foundations of methods for solving ill-posed problems. Vychislitel’nye Metody i Programmirovanie, 4(1), pp. 130–141 (in Russian).
- Melnyk, S. I., 2009. Theoretical and informational approach to measurement data analysis and estimation of their uncertainty. In: Data processing systems: trans. Kharkiv: Kharkivs'kyj universitet povitryanyh syl Publ. 5(79), pp. 89–92 (in Russian).