A fast motion deblurring based on the motion blur region search for a mobile phone

In this paper, we propose a fast motion deblurring technique based on a motion blur region search for a mobile camera phone. The technique simultaneously captures two differently exposed images in one shot. By comparing edge information from short and normal exposed images, blur regions are identified and deblurring is only performed in the identified regions based on the proposed weighted color interpolation. Further, we modify an Android camera capture flow to remain in the required camera shot-to-shot time even including the proposed technique. Experimental results using an Android camera phone demonstrate the effectiveness of our proposed method.