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http://dx.doi.org/10.5573/ieie.2014.51.10.147

Non-Dyadic Lens Distortion Correction and Image Enhancement Based on Local Self-Similarity  

Park, Jinho (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Kim, Donggyun (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Kim, Daehee (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Kim, Chulhyun (Dep. of Media and Broadcast, Korea Nazarene University)
Paik, Joonki (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia, and Film, Chung-Ang University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.10, 2014 , pp. 147-153 More about this Journal
Abstract
In this paper, we present a non-dyadic lens distortion correction model and image restoration method based on local self-similarity to remove jagging and blurring artifacts in the peripheral region of the geometrically corrected image. The proposed method can be applied in various application areas including vehicle real-view cameras, visual surveillance systems, and medical imaging systems.
Keywords
왜곡 보정;어안렌즈;단계적 영상 보정;지역적 자기 유사도;
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