WORKSHOP PAPER
High Dynamic Range Imaging using Quanta Image Sensors
Abstract
An algorithmic solution is proposed for reconstructing high dynamic range (HDR) images from single-bit and multi-bit Quanta Image Sensor (QIS). Given a space-time cubicle of the QIS data, the algorithm partitions the frames into groups of different exposures. After summation and denoising, the resulting frames are combined to form the HDR image. The combination weights are determined according to a new theoretical result showing how signal to noise changes with the exposure. The new method is compared with conventional CMOS-based HDR image reconstruction methods on both synthetic and real QIS data.Keywords
High Dynamic Range Imaging, Quanta Image Sensors, Algorithmic Solution,References
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