Title :
Local extrema based Digital Dropout detection in degraded archived media
Author :
Gihun Song;Jaemyun Kim;Kiok Ahn;Oksam Chae
Author_Institution :
Image Processing Lab, Department of Computer Engineering, Kyung Hee University, Republic of Korea
Abstract :
A spatial detection technique, based on the extrema of current pixel´s neighborhood, is proposed for Digital Dropout error, evident in the archived media. Digital dropout is a major type of damage occurred due to the physical error in original tape and tends to occur in block by block basis. As long as the presence of fast moving object is observed in video sequences where current state-of-the-art methods fail to detect accurate error information, such spatial detection offers a much better solution in terms of quality and complexity. Experiments are performed on video archives to evaluate the efficacy of the proposed technique.
Keywords :
"Yttrium","Image edge detection","Filtering algorithms","Feature extraction","Error analysis","Broadcasting","Multimedia communication"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7351405