TY - GEN
T1 - Two adaptive methods based on edge analysis for improved concealing damaged coded images in critical error situations
AU - Ramírez-Acosta, Alejandro Alvaro
AU - García-Vázquez, Mireya S.
PY - 2013
Y1 - 2013
N2 - The original coded image signal can be affected when it is transmitted over error-prone networks. Error concealment techniques for compressed image or video attempt to exploit correctly received information to recover corrupted regions that are lost. If these regions have edges, most of these conventional approaches cause noticeable visual degradations, because they not consider the edge characteristics of images. The spatial error concealment methods cannot work well; especially over high burst error condition since a great of neighboring information have been corrupted or lost (called 'critical error situations'). This paper proposes two adaptive and effective methods to select the required support area, based on edge analysis using local geometric information, suited base functions and optimal expansion coefficients, in order to conceal the damaged macroblocks in critical error situations. Experimental results show that the proposed two approaches outperform existing methods by up to 7.9 dB on average.
AB - The original coded image signal can be affected when it is transmitted over error-prone networks. Error concealment techniques for compressed image or video attempt to exploit correctly received information to recover corrupted regions that are lost. If these regions have edges, most of these conventional approaches cause noticeable visual degradations, because they not consider the edge characteristics of images. The spatial error concealment methods cannot work well; especially over high burst error condition since a great of neighboring information have been corrupted or lost (called 'critical error situations'). This paper proposes two adaptive and effective methods to select the required support area, based on edge analysis using local geometric information, suited base functions and optimal expansion coefficients, in order to conceal the damaged macroblocks in critical error situations. Experimental results show that the proposed two approaches outperform existing methods by up to 7.9 dB on average.
KW - H.264/AVC
KW - Spatial error concealment
KW - adaptive directional interpolation
KW - adaptive frequency selective extrapolation
KW - critical support area
KW - image
KW - video
UR - http://www.scopus.com/inward/record.url?scp=84875861718&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-37807-2_14
DO - 10.1007/978-3-642-37807-2_14
M3 - Contribución a la conferencia
SN - 9783642378065
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 158
EP - 170
BT - Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers
T2 - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012
Y2 - 27 October 2012 through 4 November 2012
ER -