Texture aware learning-based image fusion method for fixed focal-length cameras

Haoyu Ma; Zhihai Xu; Huajun Feng; Qi Li; Yueting Chen; Jiazi Huang

doi:10.1117/12.2285610

24 October 2017 Texture aware learning-based image fusion method for fixed focal-length cameras

Haoyu Ma, Zhihai Xu, Huajun Feng, Qi Li, Yueting Chen, Jiazi Huang

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104624V (2017) https://doi.org/10.1117/12.2285610
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

This paper aims to develop a novel approach of image fusion for an asymmetrical camera system when multiple images are acquired with cameras which have large differences in focal lengths but similar sensor size with an overlapping field of view. The fused image usually becomes perceptually unpleasant because the high-frequency components of a wideview image will be quite inadequate comparing to the tele-view images. Four steps are consisted in the proposed work: (i) image upscaling of the wide-view image, (ii) texture identification on the upscaled image, (iii) the performance evaluation of image upscaling, and (iv) the image inpainting for the high-frequency components of the wide-view image. The field of view of tele-view camera is set to be 4 times smaller than the wide-view camera in spatial angle in the experiment. The experiment result illustrates that the proposed algorithm brings significantly perceptual improvement to the wide-view image.

Citation Download Citation

Haoyu Ma, Zhihai Xu, Huajun Feng, Qi Li, Yueting Chen, and Jiazi Huang "Texture aware learning-based image fusion method for fixed focal-length cameras", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624V (24 October 2017); https://doi.org/10.1117/12.2285610

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