Restoration of images scanned in the presence of vibrations

Wolberg, George; Loce, Robert P.

doi:10.1117/12.229049

Cited by 5 publications

(1 citation statement)

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“…The only available reference is image restoration technology suitable for lineararray push-scan sensors. Wolberg and Loce formulated the imaging model based on the operational principle of a linear-array push-scan camera, proposed a method for calculating the point spread function of vibration in linear-array cameras, and reconstructed blurred images caused by vibrations [25]. A TDICCD vibration image restoration method was proposed by Zhejiang University which is capable of restoring degraded vibration images row by row through the calculation of point spread functions for each individual row when the instantaneous speed of motion is known [26].…”

Section: Introductionmentioning

confidence: 99%

Vibration Detection and Degraded Image Restoration of Space Camera Based on Correlation Imaging of Rolling-Shutter CMOS

Hai-long

Han

et al. 2023

Sensors

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To mitigate the influence of satellite platform vibrations on space camera imaging quality, a novel approach is proposed to detect vibration parameters based on correlation imaging of rolling-shutter CMOS. In the meantime, a restoration method to address the image degradation of rolling-shutter CMOS caused by such vibrations is proposed. The vibration parameter detection method utilizes the time-sharing and row-by-row imaging principle of rolling-shutter CMOS to obtain relative offset by comparing two frames of correlation images from continuous imaging. Then, the space camera’s vibration parameters are derived from the fitting curve parameters of the relative offset. According to the detected vibration parameters, the discrete point spread function is obtained, and the rolling-shutter CMOS image degradation caused by vibration is restored row by row. The verification experiments demonstrate that the proposed detection method for two-dimensional vibration achieves a relative accuracy of less than 1% in period detection and less than 2% in amplitude detection. Additionally, the proposed restoration method can enhance the MTF index by over 20%. The experimental results demonstrate that the detection method is capable of detecting high-frequency vibrations through low-frame-frequency image sequences, and it exhibits excellent applicability in both push-scan cameras and staring cameras. The restoration method effectively enhances the evaluation parameters of image quality and yields a remarkable restorative effect on degraded images.

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Section: Introductionmentioning

confidence: 99%