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The spatial resolution of the retinal images cannot approach a diffraction limit due to the high-order aberrations of the human eye. We present a technique, which allows restoring fine details on the retinal images using information about OTF (optical transfer function) of the eye obtained by the Shack-Hartman wavefront sensor. The precision of wavefront measurements greatly enhanced by reference source scanning on the retina. A closed loop adaptive system based on the bimorph mirror suppresses low-order aberrations. The residual errors are removed by the image deconvolution. The finite depth of retina layers of the human eye significantly reduce resolution of color retinal images as far as it introduces additional defocusing depending on the wave- length of the reflecting light. We present a novel technique of color retinal image deconvolution. The key feature of the algorithm is in use of information on retina structure. This permits calculating of optical transfer functions for each of the retina layers. Significant improvement of image quality was obtained. The processing time was about a few dozens of seconds for contemporary PC computers and image size 2000*2000 pixels.
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Andrey V. Larichev, Nikita G. Irochnikov, Pavel Ivanov, Alexis V. Kudryashov, "Deconvolution of color retinal images with wavefront sensing," Proc. SPIE 4251, Coherence Domain Optical Methods in Biomedical Science and Clinical Applications V, (23 May 2001); https://doi.org/10.1117/12.427879