Denoising multicriterion iterative reconstruction in emission spectral tomography
Applied Optics, Vol. 46, Issue 8, pp. 1223-1232 (2007)
http://dx.doi.org/10.1364/AO.46.001223
Enhanced HTML 
Acrobat PDF (2731 KB)
Abstract
In the study of optical testing, the computed tomogaphy technique has been widely adopted to reconstruct three-dimensional distributions of physical parameters of various kinds of fluid fields, such as flame, plasma, etc. In most cases, projection data are often stained by noise due to environmental disturbance, instrumental inaccuracy, and other random interruptions. To improve the reconstruction performance in noisy cases, an algorithm that combines a self-adaptive prefiltering denoising approach (SPDA) with a multicriterion iterative reconstruction (MCIR) is proposed and studied. First, the level of noise is approximately estimated with a frequency domain statistical method. Then the cutoff frequency of a Butterworth low-pass filter was established based on the evaluated noise energy. After the SPDA processing, the MCIR algorithm was adopted for limited-view optical computed tomography reconstruction. Simulated reconstruction of two test phantoms and a flame emission spectral tomography experiment were employed to evaluate the performance of SPDA-MCIR in noisy cases. Comparison with some traditional methods and experiment results showed that the SPDA-MCIR combination had obvious improvement in the case of noisy data reconstructions.
© 2007 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3010) Image processing : Image reconstruction techniques
(120.2440) Instrumentation, measurement, and metrology : Filters
History
Original Manuscript: August 11, 2006
Revised Manuscript: October 5, 2006
Manuscript Accepted: October 17, 2006
Published: February 20, 2007
Virtual Issues
Vol. 2, Iss. 4 Virtual Journal for Biomedical Optics
Citation
Xiong Wan and Aihan Yin, "Denoising multicriterion iterative reconstruction in emission spectral tomography," Appl. Opt. 46, 1223-1232 (2007)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-46-8-1223
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Further study on the convergence property of the hybrid input–output algorithm used for phase retrieval (JOSAA)
- Developments in generalized ranked-order filters (JOSAA)
- Total least-squares reconstruction with wavelets for optical tomography (JOSAA)
- Study on the convergence property of the hybrid input–output algorithm used for phase retrieval (JOSAA)
- System Design for Accurately Estimating the Spectral Reflectance of Art Paintings (AO)
Related Conference Papers
- The Quantized Cosine Transform for Sensor-Layer Image Compression
- Diffraction-Limited Impulse Response Image Reconstruction with a Single Imaging Pixel
- Wavelength Division Multiplexer Based on Photonic Crystal Filters Integrated into Silicon-on-Insulator Waveguides
- Diffraction-Limited Impulse Response Image Reconstruction with a Single Imaging Pixel
- Iterative Exposure Bracketing
« Previous Article | Next Article »
OSA is a member of 