A Novel Non-linear Method of Automatic Video Scratch Removal
Xing Huo, Jieqing Tan · 2012
Video in painting is an important topic in digital image processing. Old age, repeat play and improper preservation always deteriorate the film, dust and mechanical operations produce artifacts like scratches and blotches. This paper presents an automatic scratch detection and removal approach. An accurate wavelet method is introduced to automatically detect the scraches and a new nonlinear continued fraction method dealing with both spatical and temporal information around the scratch is investigated in the restoration stage. In our experiment results, we show that our scheme not only obtains more accurate detection of scratches, but also gives better video quality.