Abstract
This paper presents an algorithm for extracting PRNU noise from video files taken by a smartphone camera. We consider video because they are quite prevalent in our life, but are not often involved in the existing research works. Unlike most prior arts tending to extract PRNU noise from completely decompressed video frames, our proposed algorithm leaves out some procedures in the video decoding process to reduce the computational complexity. Besides, we design a maximum-likelihood-estimation algorithm for extracting PRNU noise from partly decoded video frames, and analyze the algorithm’s suitability as well in theory. Experimental results further prove the validity and effectiveness of the proposed algorithm.
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