Abstract
When the pulse-sequence-based image sensor films high-speed moving objects, the image lag problem may appears as blurring in reconstructed images. In this paper, an algorithm is proposed to suppress lags by distinguishing the lag area and calculating ratio of bright to dark part in one trigger interval. The algorithm bases on the sensor's characteristics and image lag principle that the change of light intensity cannot be immediately reflected on the pulse generated from photoelectric accumulation. The effectiveness of the algorithm is verified both on the sensor's behavior-level model and the real image sensor. In both experiments the curves of LSF (line spread function) and MTF (modulation transfer function) show the reconstructed edges after lag elimination algorithm are similar to the real edges both in sharpness and position. The indexes to evaluate image similarity including LMD (location mean deviation), PSNR (peak signal to noise ratio) and SSIM (structural similarity index) improve respectively. In the experiment on sensor's model, when the simulation velocity of edge is low, the algorithm can reconstruct the perfect edges as input images. As velocity increases, the reconstructed edges are still sharp but with slight shifts. In the real experiment to film a turntable with a rotation speed of 6000r/min, the LMD, PSNR and SSIM improve from 22.2833 to 2.5167, 18.2485 to 21.8603 and 0.8345 to 0.9364 respectively. These results show that the algorithm can suppress image lag and improve reconstructed image quality.
Highlights
High-speed imaging technology has outstanding advantages in real-time target capturing, fast image recording and realtime playback
The real video filmed by the image sensor is applied
By identifying lag area and calculating the ratio of light to dark part in the lag trigger interval, the lag problem in reconstructed images is suppressed. This method is applied on the sensor’s behavior-level model and real video filmed by the image sensor
Summary
High-speed imaging technology has outstanding advantages in real-time target capturing, fast image recording and realtime playback. A high-speed pulse-sequence-based image sensor which converts light into a series of pulse intervals [15] is developed. For the pulse-sequence-based high-speed image sensor, the image data is of special structure and the method to eliminate image lag is different. The architecture of the pulse-sequence-based high-speed image sensor is shown in Fig.. THE PRINCIPLE OF IMAGE LAG The reconstruction method based on pulse interval is suitable for high-speed situation where image lag often appears. When the pulse data is reconstructed, the gray value of lag segment in the boundary is shown as segment B, which appears as blurring in reconstructed images
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