A novel iterative optimizing quantization technique for three-dimensional reconstruction from a limited number of views
- Lawrence Livermore National Lab., CA (United States)
- California Univ., Davis, CA (United States). Dept. of Applied Science
- Univ. of California, Davis, CA (United States). Dept. of Electrical Engineering
The Iterative Optimizing Quantization Technique (IOQT) is a novel method in reconstructing three-dimensional images from a limited number of two-dimensional projections. IOQT reduces the artifacts and image distortion due to a limited number of projections and limited range of viewing angles. IOQT, which reduces the number of projections required for reconstruction, can simplify the complexity of an experimental set-up and support the development of techniques to nondestructively image microstructures of materials without the problems of chemical changes or damage. In this paper, we will demonstrate the capability of IOQT in reconstruction of an image from four projections. The advantage of IOQT in using a limited number of arbitrary-angled projections and the possibility of modification of IOQT are also mentioned.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 205198
- Report Number(s):
- UCRL-JC-121137; CONF-950793-53; ON: DE96007555
- Resource Relation:
- Conference: 40. annual meeting of the Society of Photo-Optical Instrumentation Engineers, San Diego, CA (United States), 9-14 Jul 1995; Other Information: PBD: 14 Jun 1995
- Country of Publication:
- United States
- Language:
- English
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