Light Field imaging systems allow capturing a larger amount of information of a scene with respect to conventional cameras. In fact, light field cameras record, in a single shot, multiple instances of the same scene taken from slightly different points of view. This enables new applications, like digital refocusing and free-viewpoint content creation. The main drawback of this hardware is in the trade-off between spatial and angular resolution, which has an impact on the depth of field of the refocused images. In this paper we propose a technique for increasing the depth of field by means of mul-tifocus fusion and, at the same time, for enhancing the quality of the content. The available views are processed in the Laguerre Gauss transform domain to perform a selective enhancement that sharpens the selected depth layer and blurs the others. The performed experiments prove the effectiveness of the proposed approach.
Brizzi, M., Battisti, F., Neri, A. (2019). Light Field Depth-of-Field Expansion and Enhancement Based on Multifocus Fusion. In Proceedings - European Workshop on Visual Information Processing, EUVIP (pp.146-151). Institute of Electrical and Electronics Engineers Inc. [10.1109/EUVIP47703.2019.8946218].
Light Field Depth-of-Field Expansion and Enhancement Based on Multifocus Fusion
Brizzi M.;Battisti F.;Neri A.
2019-01-01
Abstract
Light Field imaging systems allow capturing a larger amount of information of a scene with respect to conventional cameras. In fact, light field cameras record, in a single shot, multiple instances of the same scene taken from slightly different points of view. This enables new applications, like digital refocusing and free-viewpoint content creation. The main drawback of this hardware is in the trade-off between spatial and angular resolution, which has an impact on the depth of field of the refocused images. In this paper we propose a technique for increasing the depth of field by means of mul-tifocus fusion and, at the same time, for enhancing the quality of the content. The available views are processed in the Laguerre Gauss transform domain to perform a selective enhancement that sharpens the selected depth layer and blurs the others. The performed experiments prove the effectiveness of the proposed approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.