Paper
25 September 2014 Optimized restoration of wavefront coded images
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Abstract
Wavefront coding (WFC) uses a special aspheric optics and digital image processing to extend the depth of focus in imaging systems. An intermediate blurred image is generated by the spatial convolution of the image with the point spread function (PSF) of a cubic phase mask. Restoration tests are performed on an optically encoded image. The best option to restore an image is not always given by a deconvolution method using the PSF of the imaging system. Due to it is limited by the perfect PSF of the system. In this study, the restored image is given by a deconvolution method using the numerical PSF. As the quality of the image is depended of the pupil diameter and strength of the wfc phase plate, an optimization was achieved by means of measuring the decoded image contrast. Results shows a high resolution decoded image.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Toxqui-Quitl, Eva Acosta , Justo Arines, and A. Padilla-Vivanco "Optimized restoration of wavefront coded images", Proc. SPIE 9192, Current Developments in Lens Design and Optical Engineering XV, 91921J (25 September 2014); https://doi.org/10.1117/12.2065848
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Cited by 1 scholarly publication.
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KEYWORDS
Point spread functions

Wavefronts

Deconvolution

Eye

Imaging systems

Genetic algorithms

Image quality

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