Abstract : In this paper, we propose a simple method for the ghost detection problem in the context of merging multiple low dynamic range (LDR) images to form a high dynamic range (HDR) image. We show that the second biggest singular values extracted over local spatio-temporal neighbourhoods can be effectively used for ghost region detection. Furthermore, we combine the proposed method with an exposure fusion technique to generate final HDR image free of ghosting artefacts. We present experimental results to illustrate the efficiency of the proposed method and quantitative comparison with other existing approaches show the good performance of our method in detecting and removing ghosting artefacts.
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00712760 Contributeur : Désiré SidibéConnectez-vous pour contacter le contributeur Soumis le : jeudi 28 juin 2012 - 08:12:18 Dernière modification le : dimanche 26 juin 2022 - 00:42:45 Archivage à long terme le : : samedi 29 septembre 2012 - 02:21:25
Abhilash Srikantha, Désiré Sidibé, Fabrice Mériaudeau. An SVD-Based Approach for Ghost Detection and Removal in High Dynamic Range Images. 21st International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. pp.1-4. ⟨hal-00712760⟩