Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
A coarse-to-fine ghost removal scheme for HDR imaging
Ist Teil von
The Visual computer, 2023-07, Vol.39 (7), p.2515-2528
Ort / Verlag
Berlin/Heidelberg: Springer Berlin Heidelberg
Erscheinungsjahr
2023
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
Ghost removal in high dynamic range imaging is a challenging problem especially when relative camera or object motion exists. To solve the problem, an effective coarse-to-fine deghosting method combining registration and matching based on PatchMatch is proposed. Firstly, the coarse registration scheme based on Scale-Invariant Feature Transform is used to achieve the consistency of image scale space. Secondly, similarity measure of underlayer information is established by Mutual Information to realize fine registration. Thirdly, different from general distance measurement, structural similarity index measurement is employed to build the objective function to search for the best-matched patch in the fusion process. Experimental results demonstrate the algorithm can remove the ghost artifacts effectively. Furthermore, objective evaluations show that the algorithm accuracy has been improved comprehensively. Compared with the existing methods, the proposed algorithm can achieve a convincing result for dynamic senses, especially for large moving objects.