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Fast image super-resolution for a dual-resolution camera

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Abstract

High-spatial resolution and wide field of view (FOV) can be satisfied simultaneously with a dual-sensor camera. A special kind of dual-sensor camera named dual-resolution camera has been designed and manufactured; therefore, a high-resolution image with narrow FOV and another low-resolution image with wide FOV are captured by one shot. To generate a high-resolution image with wide FOV, a fast super-resolution reconstruction is proposed, which is composed of wavelet-based super-resolution and back projection. During wavelet-based super-solution, the high-resolution image captured is used to learn the co-occurrence prior by a linear regression function. At last, low-resolution image is reconstructed based on the learnt co-occurrence prior. Simulation and real experiments are carried out, and three other common super-resolution algorithms are compared. The experimental results show that the proposed method reduces time cost significantly, and achieves excellent performance with high PSNR and SSIM.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant Number 61275021).

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Authors and Affiliations

  1. State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, Zhejiang, 310027, China

    Kuo Chen, Yueting Chen, Huajun Feng & Zhihai Xu

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  1. Kuo Chen
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  2. Yueting Chen
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  3. Huajun Feng
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  4. Zhihai Xu
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Correspondence to Yueting Chen.

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Chen, K., Chen, Y., Feng, H. et al. Fast image super-resolution for a dual-resolution camera. Opt Rev 22, 434–442 (2015). https://doi.org/10.1007/s10043-015-0077-6

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  • DOI: https://doi.org/10.1007/s10043-015-0077-6

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