Abstract
Instead of more expensive and complex optics, recent years, many researches are focused on high-quality photography using light-weight cameras, such as single-ball lens, with computational image processing. Traditional methods for image enhancement do not comprehensively address the blurring artifacts caused by strong chromatic aberrations in images produced by a simple optical system. In this paper, we propose a new method to correct both lateral and axial chromatic aberrations based on their different characteristics. To eliminate lateral chromatic aberration, cross-channel prior in shearlet domain is proposed to align texture information of red and blue channels to green channel. We also propose a new PSF estimation method to better correct axial chromatic aberration using wave propagation model, where F-number of the optical system is needed. Simulation results demonstrate our method can provide aberration-free images while there are still some artifacts in the results of the state-of-art methods. PSNRs of simulation results increase at least 2 dB and SSIM is on average 6.29% to 41.26% better than other methods. Real-captured image results prove that the proposed prior can effectively remove lateral chromatic aberration while the proposed PSF model can further correct the axial chromatic aberration.
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Acknowledgment
The work was supported in part by National Natural Science Foundation of China (Grant No. 61827804 and 61991450).
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Li, K., Jin, X. (2021). Chromatic Aberration Correction Using Cross-Channel Prior in Shearlet Domain. In: Ishikawa, H., Liu, CL., Pajdla, T., Shi, J. (eds) Computer Vision – ACCV 2020. ACCV 2020. Lecture Notes in Computer Science(), vol 12623. Springer, Cham. https://doi.org/10.1007/978-3-030-69532-3_7
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