20 May 2016 Fast approach to infrared image restoration based on shrinkage functions calibration
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Abstract
High-quality image restoration in real time is a challenge for infrared imaging systems. We present a fast approach to infrared image restoration based on shrinkage functions calibration. Rather than directly modeling the prior of sharp images to obtain the shrinkage functions, we calibrate them for restoration directly by using the acquirable sharp and blurred image pairs from the same infrared imaging system. The calibration method is employed to minimize the sum of squared errors between sharp images and restored images from the blurred images. Our restoration algorithm is noniterative and its shrinkage functions are stored in the look-up tables, so an architecture solution of pipeline structure can work in real time. We demonstrate the effectiveness of our approach by testing its quantitative performance from simulation experiments and its qualitative performance from a developed wavefront coding infrared imaging system.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
Chengshuo Zhang, Chengshuo Zhang, Zelin Shi, Zelin Shi, Baoshu Xu, Baoshu Xu, Bin Feng, Bin Feng, } "Fast approach to infrared image restoration based on shrinkage functions calibration," Optical Engineering 55(5), 053107 (20 May 2016). https://doi.org/10.1117/1.OE.55.5.053107 . Submission:
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