Prof. Philip J. Bones
at Univ of Canterbury
SPIE Involvement:
Fellow status | Senior status | Conference Program Committee | Conference Chair | Editor | Author | Instructor
Publications (30)

Proceedings Article | 18 September 2018
Proc. SPIE. 10772, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018
KEYWORDS: Statistical analysis, Visualization, Tissues, Stereoscopy, Metals, Magnetic resonance imaging, Magnetism, Natural surfaces

Proceedings Article | 6 September 2017
Proc. SPIE. 10410, Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
KEYWORDS: Metals, Magnetic resonance imaging, Magnetism, Phase retrieval, Algorithm development

SPIE Conference Volume | 12 October 2015

Proceedings Article | 21 September 2015
Proc. SPIE. 9600, Image Reconstruction from Incomplete Data VIII
KEYWORDS: Femtosecond phenomena, Molecules, Crystals, X-rays, Electrons, Phase retrieval, Nanocrystals, X-ray imaging, Free electron lasers, Crystallography

Showing 5 of 30 publications
Conference Committee Involvement (10)
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2019
14 August 2019 | San Diego, California, United States
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018
22 August 2018 | San Diego, California, United States
Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017
9 August 2017 | San Diego, California, United States
Image Reconstruction from Incomplete Data VIII
11 August 2015 | San Diego, California, United States
Image Reconstruction from Incomplete Data VII
14 August 2012 | San Diego, California, United States
Showing 5 of 10 published special sections
Course Instructor
SC201: Practical Digital Image Reconstruction Algorithms
Many technical disciplines (e.g. remote sensing, medical imaging, etc.) require digital processing of data to reconstruct an image. This course presents an analysis of methods and algorithms used for reconstructing images from distorted and/or incomplete data, and the development for specific applications. Topics covered include image formation and degradation, Fourier methods and computations, filtering, projection- and probabilistic-based algorithms, deconvolution (deblurring), and phase retrieval.
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