Peripheral region enhancement of geometrically compensated images from a fisheye lens

In this paper, we propose a peripheral region enhancement method for geometrically compensated images from a fisheye lens. The proposed method provides a novel filtering method based on the degradation model of a fisheye lens. More specifically, we first present a space-variant image degradation mod...

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Hauptverfasser: Donggyun Kim, Seonyung Kim, Joonki Paik, Junghoon Jung, Taechan Kim
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Seonyung Kim
Joonki Paik
Junghoon Jung
Taechan Kim
description In this paper, we propose a peripheral region enhancement method for geometrically compensated images from a fisheye lens. The proposed method provides a novel filtering method based on the degradation model of a fisheye lens. More specifically, we first present a space-variant image degradation model using generic Gaussian function with geometric distortion. We then apply the truncated constraint least squares (TCLS) filter for restoring the peripheral region of the image in the real-time, space-adaptive manner. Experimental results demonstrate that the proposed method can enhance the peripheral region while keeping the high-quality center region.
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Cameras
Degradation
degradation model
Finite impulse response filter
fisheye lens
Image restoration
Lenses
Nonlinear distortion
Optical filters
peripheral region enhancement
title Peripheral region enhancement of geometrically compensated images from a fisheye lens
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