In synthetic aperture integral imaging system (SAII), a camera array, replacing lenslet array, is employed to obtain highresolution elemental images with multiple perspective. However, the SAII system still suffer from the limitation of depth of field (DoF). In this paper, we present a multi-focus elemental image fusion method by using NSCT to solve limitation of DoF problem. In proposed method, the depth estimation are achieved to register elemental images. Then, a fusion method based on non sub-sampled contourlet transform (NSCT) is employed to obtain full-focus elemental images. Finally, the resolution enhanced 3D images are reconstructed by using the full-focus elemental images. To show the feasibility of the proposed method, the preliminary experiments are carried out.
In this paper, we present a resolution enhanced 3D photon counting integral imaging system to improve the visual quality of the reconstructed 3D images. In order to solve the limitation of the visual quality cause by the photon starved condition, the statistical estimation algorithm based on the 3D imaging structure is proposed to estimate the high performance photon counting images. Additionally, synthetic aperture integral imaging is utilized for imaging and reconstruction in low light levels condition. Finally, the performance of the proposed method is verified relying on the precise experimental results.
In synthetic aperture integral imaging system, a camera array is employed to obtain multiple perspective images from a 3D scene. However, the imaging lens suffer from the limitation of depth of field which disallows a conventional integral imaging system to obtain full-focus elemental images. To solve this problem, we present a multi-focus elemental images fusion method to reconstruct resolution enhanced 3D integral images. In the proposed method, depth estimation and image registration are achieved to fuse full-focus elemental images. Then, the resolution enhanced 3D images are reconstructed by using full-focus elemental images. To verify feasibility of the proposed method, the preliminary experiments are carried out.
KEYWORDS: Integral imaging, Ray tracing, 3D modeling, 3D image processing, 3D image reconstruction, Reconstruction algorithms, Image processing, Scanning probe microscopy, Image quality, Imaging systems
In this paper, we present a computational orthoscopic integral imaging reconstruction method by utilizing a flexible ray tracing algorithm to overcome the pseudoscopic problem. Compared to previous works, the proposed method can directly reconstruct orthoscopic 3D images through one step ray tracing process. Thus, a real, undistorted, orthoscopic 3D images can be reconstructed various distances without the magnification and overlap process of conventional CIIR. To show the feasibility of the proposed method, the preliminary experiments are carried out and the some experimental results are presented.
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