DocumentCode :
2121022
Title :
Non-dyadic lens distortion correction and enhancement of fish-eye lens images
Author :
Jinho Park ; Donggyun Kim ; Daehee Kim ; Joonki Paik
Author_Institution :
Grad. Sch. of Adv. Imaging Sci., Chung-Ang Univ., Seoul, South Korea
fYear :
2015
fDate :
9-12 Jan. 2015
Firstpage :
275
Lastpage :
276
Abstract :
In this paper, a novel image enhancement method is presented for a fish-eye lens camera. In order to remove jagging and blur artifacts that are generated by a correction process of geometric lens distortion, the proposed method searches similar patches in a non-dyadic scale space. For further enhancing the artifact-removed image, a self-example-based image restoration is also used. Experimental results show that the proposed method can successfully remove not only geometric distortion of a fish-eye lens but also jagging and blur artifacts in the corrected image.
Keywords :
image enhancement; image restoration; image sensors; blur artifacts; correction process; fish eye lens camera; fish eye lens image enhancement; geometric lens distortion; image enhancement method; image restoration; jagging artifacts; non dyadic lens distortion correction; Conferences; Consumer electronics; Image enhancement; Image restoration; Imaging; Lenses; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2015 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-7542-6
Type :
conf
DOI :
10.1109/ICCE.2015.7066411
Filename :
7066411
Link To Document :
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