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This paper proposes a linear scratch detection and restoration algorithm using pixel data comparison in a single frame or consecutive frames. There exists a high parallelism in that a scratch detection and restoration algorithm needs a large amount of comparison operations. The proposed scratch detection and restoration algorithm is designed with a GPU for fast computation. We test the proposed algorithm in sequential and parallel processing with the set of digital videos in National Archive of Korea. In the experiments, the scratch detection rate of consecutive frames is as fast as about 20% for that of a single frame. The detection and restoration rates of a ∙1 :  ∙ :  ∙ : 2013. 11. 15,  : 2013. 12. 10,  : 2014. 2. 28. *  (Dept. of Computer Science, Dankook University) ** ()(L&Y Vision Technologies, Inc) ***  (Dept. of Kinesiologic Medical Science & Computer Science, Dankook University) ※      2012      . 10 Journal of The Korea Society of Computer and Information April 2014 GPU-based algorithm are similar to those of a CPU-based algorithm, but the parallel implementation speeds up to about 50 times. ▸

Design of Line Scratch Detection and Restoration Algorithm using GPU