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 pro- cessing. Traditional methods for image enhancement do not comprehen- sively address the blurring artifacts caused by strong chromatic aber- rations 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 in- crease 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 pro- posed prior can effectively remove lateral chromatic aberration while the proposed PSF model can further correct the axial chromatic aberration.
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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 pro- cessing. Traditional methods for image enhancement do not comprehen- sively address the blurring artifacts caused by strong chromatic aber- rations 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 in- crease 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 pro- posed prior can effectively remove lateral chromatic aberration while the proposed PSF model can further correct the axial chromatic aberration.