Paper
9 December 2004 Experimental results of parallel multiframe blind deconvolution using wavelength diversity
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Abstract
We have developed a method to estimate both the original objects and the blurring function from a sequence of noisy blurred images, simultaneously collected at different wavelengths (wavelength diversity). The assumption of common path-length errors across the diversity channels allows for a parallel deconvolution procedure that exploits this coupling. In contrast with previous work, no a priori assumptions about the object's intensity distribution are required. The method is described, and preliminary results for both synthetic computer-generated images and real images collected with a bench-scale imaging system are presented, demonstrating the promise of the algorithm.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harry R. Ingleby and Donald R. McGaughey "Experimental results of parallel multiframe blind deconvolution using wavelength diversity", Proc. SPIE 5578, Photonics North 2004: Photonic Applications in Astronomy, Biomedicine, Imaging, Materials Processing, and Education, (9 December 2004); https://doi.org/10.1117/12.567435
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Cited by 5 scholarly publications.
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KEYWORDS
Deconvolution

Point spread functions

Error analysis

Imaging systems

Image processing

Zernike polynomials

Visualization

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