Multi-frame image restoration method for Luojia 1-01 night-light remote sensing images

ABSTRACT

To address blur and noise issues caused by airlight and atmospheric scattering in nighttime imaging environment, we proposed a multi-frame image restoration method. First, the Luojia 1–01 night-light image degradation model was derived. Thereafter, the APSF (Atmospheric Point Spread Function) for night-light images was estimated. Improved dark channel prior and sparse constraint models were used to eliminate effects ofairlight and atmospheric scattering. Finally, a multi-frame sparse constraint model was established to eliminate image noise. The results show the proposed method is effective as it can reduce the image blur phenomenon, suppress image noise, and improve image quality.

KEYWORDS:

• Airlight
• atmospheric scattering
• night-light remote sensing image
• improved dark channel prior
• multi-frame image restoration

Disclosure statement

No potential conflict of interest was reported by the author(s).

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Funding

This research was funded by Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, grant number [18T07]. The National Natural Science Foundation of China, grant number [41801294]. The Natural Science Foundation of Liaoning, grant number [20180551209]. National Key R&D Program of China, grant number [2020YFA0713503].