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- W1978165612 abstract "Recent research demonstrates the advantage of designing electro-optical imaging systems by jointly optimizing the opticaland digital subsystems. The optical systems designed using this joint approach intentionally introduce large and oftenspace-varying optical aberrations that produce blurry optical images. Digital sharpening restores reduced contrast due tothese intentional optical aberrations. Computational imaging systems designed in this fashion have several advantagesincluding extended depth-of-field, lower system costs, and improved low-light performance. Currently, most consumerimaging systems lack the necessary computational resources to compensate for these optical systems with large aberrationsin the digital processor. Hence, the exploitation of the advantages of the jointly designed computational imaging systemrequires low-complexity algorithms enabling space-varying sharpening.In this paper, we describe a low-cost algorithmic framework and associated hardware enabling the space-varying finiteimpulse response (FIR) sharpening required to restore largely aberrated optical images. Our framework leverages thespace-varying properties of optical images formed using rotationally-symmetric optical lens elements. First, we describean approach to leverage the rotational symmetry of the point spread function (PSF) about the optical axis allowing computationalsavings. Second, we employ a specially designed bank of sharpening filters tuned to the specific radial variationcommon to optical aberrations. We evaluate the computational efficiency and image quality achieved by using this low-costspace-varying FIR filter architecture." @default.
- W1978165612 created "2016-06-24" @default.
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- W1978165612 date "2010-01-17" @default.
- W1978165612 modified "2023-09-24" @default.
- W1978165612 title "Low-cost space-varying FIR filter architecture for computational imaging systems" @default.
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- W1978165612 doi "https://doi.org/10.1117/12.838977" @default.
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