Article

Computational integral imaging reconstruction method of 3D images using pixel-to-pixel mapping and image interpolation

Dept. of Visual Content, Dongseo University, Jurye2-Dong, Sasang-Gu, Busan 617-716, Republic of Korea
Optics Communications (Impact Factor: 1.54). 07/2009; 282(14):2760-2767. DOI: 10.1016/j.optcom.2009.04.008

ABSTRACT In this paper, we propose a novel computational integral imaging reconstruction (CIIR) method to improve the visual quality of the reconstructed images using a pixel-to-pixel mapping and an interpolation technique. Since an elemental image is magnified inversely through the corresponding pinhole and mapped on the reconstruction output plane based on pinhole-array model in the conventional CIIR method, the visual quality of reconstructed output image (ROI) degrades due to the interference problem between adjacent pixels during the superposition of the magnified elemental images. To avoid this problem, the proposed CIIR method generates dot-pattern ROIs using a pixel-to-pixel mapping and substitutes interpolated values for the empty pixels within the dot-pattern ROIs using an interpolation technique. The interpolated ROIs provides a much improved visual quality compared with the conventional method because of the exact regeneration of pixel positions sampled in the pickup process without interference between pixels. Moreover, it can enable us to reduce a computational cost by eliminating the magnification process used in the conventional CIIR. To confirm the feasibility of the proposed system, some experiments are carried out and the results are presented.

0 Bookmarks
 · 
86 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper, a three-dimensional (3D) image correlator using a fast computational integral imaging reconstruction (CIIR) method based on a pixel-to-pixel mapping is proposed. In order to implement the fast CIIR method, we replace the magnification process in the conventional CIIR by a pixel-to-pixel mapping. The proposed fast CIIR method reconstructs two sorts of plane images; a plane image whose quality is sufficient, and a dot pattern plane image insufficient to view. This property is very useful to enhance the performance of a CIIR-based image correlator. Thus, we apply the fast CIIR method to a CIIR-based image correlator. To show the feasibility of the proposed method, some preliminary experiments on both pattern correlation and computational cost are carried out, and the results are presented. Our experimental results indicate that the proposed image correlator is superior to the previous method in terms of both correlation performance and complexity.
    Optics Communications 10/2011; 284(21):5110-5114. DOI:10.1016/j.optcom.2011.07.026 · 1.54 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Traditional off-line measuring systems find it difficult to measure micro-structured workpieces which have a large volume and heavy weight, such as micro-structured patterned precision roller drums. This paper proposes an autostereoscopy-based three-dimensional (3D) measuring method and develops an innovative measuring system for the 3D on-machine measurement of the micro-structured surfaces, an Autostereoscopy-based Three-Dimensional On-machine Measuring (ATDOM) system. The ATDOM system is compact and capable of fast data acquisition and high accuracy in 3D computational reconstruction of complex surfaces under different measuring environments. A prototype ATDOM system is experimentally verified through a series of measurement experiments conducted on a precision machine tool. The results indicate that the ATDOM system provides an important means for efficient and reliable on-machine measurement of micro-structured surfaces.
    Optics Express 10/2014; 22(21). DOI:10.1364/OE.22.025635 · 3.53 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Integral imaging is an attractive auto-stereoscopic three-dimensional (3D) technology for next-generation 3DTV. But its application is obstructed by poor image quality, huge data volume and high processing complexity. In this paper, a new computational integral imaging (CII) system using multi-view video plus depth (MVD) representation is proposed to solve these problems. The originality of this system lies in three aspects. Firstly, a particular depth-image-based rendering (DIBR) technique is used in encoding process to exploit the inter-view correlation between different sub-images (SIs). Thereafter, the same DIBR method is applied in the display side to interpolate virtual SIs and improve the reconstructed 3D image quality. Finally, a novel parallel group projection (PGP) technique is proposed to simplify the reconstruction process. According to experimental results, the proposed CII system improves compression efficiency and displayed image quality, while reducing calculation complexity.
    12/2012; 3(4). DOI:10.1007/3DRes.04(2012)3