Title :
Efficient Reconstruction of All-in-Focus Images Through Shifted Pinholes From Multi-Focus Images for Dense Light Field Synthesis and Rendering
Author :
Kodama, Kazuya ; Kubota, Ayumu
Author_Institution :
Nat. Inst. of Inf., Res. Organ. of Inf. & Syst., Tokyo, Japan
Abstract :
Scene refocusing beyond extended depth of field for users to observe objects effectively is aimed by researchers in computational photography, microscopic imaging, and so on. Ordinary all-in-focus image reconstruction from a sequence of multi-focus images achieves extended depth of field, where reconstructed images would be captured through a pinhole in the center on the lens. In this paper, we propose a novel method for reconstructing all-in-focus images through shifted pinholes on the lens based on 3D frequency analysis of multi-focus images. Such shifted pinhole images are obtained by a linear combination of multi-focus images with scene-independent 2D filters in the frequency domain. The proposed method enables us to efficiently synthesize dense 4D light field on the lens plane for image-based rendering, especially, robust scene refocusing with arbitrary bokeh. Our novel method using simple linear filters achieves not only reconstruction of all-in-focus images even for shifted pinholes more robustly than the conventional methods depending on scene/focus estimation, but also scene refocusing without suffering from limitation of resolution in comparison with recent approaches using special devices such as lens arrays in computational photography.
Keywords :
filtering theory; frequency-domain analysis; image reconstruction; rendering (computer graphics); 3D frequency analysis; all-in-focus image reconstruction; computational photography; dense 4D light field synthesis; linear combination; microscopic imaging; multi focus images; rendering; scene-independent 2D filters; shifted pinhole images; simple linear filters; Image reconstruction; Lenses; Photography; Rendering (computer graphics); Robustness; Trajectory; Multi-focus; all-in-focus; blur; light field; multi-view; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Lighting; Pattern Recognition, Automated; Photography; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2013.2273668