The method of image alignment based on sharpness maximization

Daniil V. Tropin; Dmitry P. Nikolaev; Dmitry G. Slugin

doi:10.1117/12.2522903

15 March 2019 The method of image alignment based on sharpness maximization

Daniil V. Tropin, Dmitry P. Nikolaev, Dmitry G. Slugin

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 1104105 (2019) https://doi.org/10.1117/12.2522903
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

Abstract

In this paper the method of image alignment based on average image sharpness maximization is proposed. The algorithm for global-shift model is investigated, its efficiency by applying FFT is shown. For projective model, an approach for image alignment using local shifts and RANSAC to obtain the final transform is considered. Experimental results for the system of document's reconstruction in a video stream increasing quality of output image are demonstrated.

Citation Download Citation

Daniil V. Tropin, Dmitry P. Nikolaev, and Dmitry G. Slugin "The method of image alignment based on sharpness maximization", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104105 (15 March 2019); https://doi.org/10.1117/12.2522903

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