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Definition
Vignetting is a reduction of an image's brightness at the periphery compared to the center of the image. It describes the effective falloff in irradiance for off-axis points for imaging systems.
Background
In real imaging systems, the image brightness is often reduced at the periphery compared to the center of the image. This effect is known as vignetting and is undesirable for computer vision algorithms that rely on measured pixel intensities. Vignetting can be caused by several mechanisms. The image irradiance varies across the field of view according to the fourth power of the cosine of the field angle. This off-axis illumination falloff is one of the prominent reasons for vignetting and is also referred to as cosine-fourth falloff [1].
Vignetting can also be caused by optical and mechanical effects. Light rays arriving at oblique angles to the optical axis may be obstructed by the aperture stop, lens rim, or improper...
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References
Horn B (1986) Robot vision. McGraw-Hill, New York
. Aggarwal M, Hua H, Ahuja N (2001) On cosine-fourth and vignetting effects in real lenses. In: International conference on computer vision, Vancouver, vol 1, pp 472–479
. Zheng Y, Lin S, Kang SB (2006) Single image vignetting correction. In: IEEE computer society conference on computer vision and pattern recognition (CVPR), New York, pp 461–468
. Zheng Y, Yu J, Kang SB, Lin S, Kambhamettu C (2008) Single-image vignetting correction using radial gradient symmetry. In: IEEE computer society conference on computer vision and pattern recognition (CVPR), Anchorage, pp 1–8
Kim SJ, Pollefeys M (2008) Robust radiometric calibration and vignetting correction. IEEE Trans Pattern Anal Mach Intell 30:562–576
. Goldman DB, Chen JH (2005) Vignette and exposure calibration and compensation. In: International conference on computer vision, Beijing, pp 899–906
Yu W (2004) Practical anti-vignetting methods for digital cameras. IEEE Trans Consum Electron 50:975–983
. Yu W, Chung Y, Soh J (2004) Vignetting distortion correction method for high quality digital imaging. In: Proceedings of the 17th IEEE international conference on pattern recognition, Cambridge, pp 666–669
. Kang SB, Weiss R (2000) Can we calibrate a camera using an image of a flat, textureless lambertian surface? In: European conference on computer vision, Dublin, pp 640–653
. Zheng Y, Kambhamettu C, Lin S (2009) Single-image optical center estimation from vignetting and tangential gradient symmetry. In: IEEE computer society conference on computer vision and pattern recognition (CVPR), Miami Beach, pp 2058–2065
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Agrawal, A. (2014). Vignetting. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_563
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DOI: https://doi.org/10.1007/978-0-387-31439-6_563
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