High dynamic range image reconstruction for multi-bit quanta image sensor

Abstract:

An adaptive thresholds algorithm is proposed in this letter, which is used to determine the global optimal thresholds for multi-bit quanta image sensor (MB-QIS). Firstly, the senor model of MB-QIS is set up. Then global optimal thresholds theory is analyzed and a thresholds optimization algorithm based on the binary search is designed to determine the optimal global thresholds. Finally, the high dynamic range (HDR) images are reconstructed by the non-iterative maximum likelihood estimation (MLE) image reconstruction method. The results of simulation prove that HDR imaging of MB-QIS is realized by the proposed method effectively.