Sharpness Enhancement and Super-Resolution of Around-View Monitor Images

In the wide-angle (WA) images embedded in an around-view monitor system, the subject(s) in the peripheral region is normally small and has little information. Furthermore, since the outer region suffers from the non-uniform blur phenomenon and artifact caused by the inherent optical characteristic o...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2018-08, Vol.19 (8), p.2650-2662
Main Authors: Choi, Dong-Yoon, Choi, Ji-Hoon, Choi, Jinwook, Song, Byung Cheol
Format: Article
Language:English
Subjects:
Algorithms
AVM
Cameras
Deterioration
ELBP
Embedded systems
Graphics processing units
Image enhancement
Image resolution
Interpolation
Real-time systems
self-example
Self-similarity
Sharpness
sharpness enhancement
Signal processing
Similarity
super-resolution
Table lookup
Visualization
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Summary:In the wide-angle (WA) images embedded in an around-view monitor system, the subject(s) in the peripheral region is normally small and has little information. Furthermore, since the outer region suffers from the non-uniform blur phenomenon and artifact caused by the inherent optical characteristic of WA lenses, its visual quality tends to deteriorate. According to our experiments, conventional image enhancement techniques rarely improve the degraded visual quality of the outer region of WA images. In order to solve the above-mentioned problem, this paper proposes a joint sharpness enhancement (SE) and super-resolution (SR) algorithm which can improve the sharpness and resolution of WA images together. The proposed SE algorithm improves the sharpness of the deteriorated WA images by exploiting self-similarity. Also, the proposed SR algorithm generates super-resolved images by using high-resolution information which is classified according to the extended local binary pattern-based classifier and learned on a pattern basis. Experimental results show that the proposed scheme effectively improves the sharpness and resolution of the input deteriorated WA images. Even in terms of quantitative metrics such as just noticeable blur, structural similarity, and peak signal-to-noise ratio. Finally, the proposed scheme guarantees real-time processing such that it achieves 720p video at 29 Hz on a low cost GPU platform.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2017.2762406