Title :
Hierarchical adaptive regularisation method for depth extraction from planar recording of 3D-integral images
Author :
Manolache, Silvia ; McCormick, Malcolm ; Kung, S.Y.
Author_Institution :
Dept. of Eng. & Technol., De Montfort Univ., Leicester, UK
Abstract :
The paper presents a novel algorithm for object space reconstruction from the planar (2D) recorded data set of a 3D-integral image. The integral imaging system is described and the associated point spread function is given. The space data extraction is formulated as an inverse problem, which proves ill-conditioned, and tackled by using a hierarchical multiresolution strategy and imposing additional conditions to the sought solution. The hierarchical strategy and the two-phase adaptive constrained 3D-reconstruction algorithm based on the use of two sigmoid functions are presented. Finally, illustrative simulation results are given
Keywords :
adaptive signal processing; feature extraction; image reconstruction; image resolution; inverse problems; least squares approximations; optical transfer function; 2D recorded data set; 3D integral images; constrained 3D-reconstruction algorithm; depth extraction; hierarchical adaptive regularisation; hierarchical multiresolution strategy; ill-conditioned problem; inverse problem; object space reconstruction; planar recording; point spread function; sigmoid functions; space data extraction; two-phase adaptive algorithm; Biomedical optical imaging; Data mining; Holographic optical components; Holography; Lenses; Microoptics; Optical arrays; Optical films; Optical imaging; Optical recording;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941199
