Multi-channel image deblurring using coded flashes
Jaelin Lee, Byeungwoo Jeon · 2021
Motion blur is easily observable in an image having moving objects, and the coded exposure photography is one of the well-known solutions to its removal. In this paper, we propose a novel coded exposure photography technique to capture images of moving objects using coded flashes. Noting that the camera acquires a multi-channel image at once by using a color filter array, we modulate each channel image differently by using multi-band coded flashes. By modulating the point spread function of the acquired channel image to have a jointly invertible point spread function, its deconvolution performance is significantly improved compared to the existing single image coded exposure photography. We prove the effectiveness of the proposed method through experiments using synthetic and real data.