Learning discriminant DCT coefficients driven block descriptor for digital dropout detection system in degraded archived media

•Identify a set of DCT coefficients that can be used in digital dropout error classification.•A weighted neighborhood sampling strategy based on spatially correlated directional behavior.•Feature extraction in DCT domain, resulting in lower time complexity and computational load.•Correlates highly w...

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Veröffentlicht in:	Expert systems with applications 2015-08, Vol.42 (14), p.5811-5821
Hauptverfasser:	Ahn, Kiok, Hoque, Md. Monirul, Song, Gihun, Abdullah-Al-Wadud, M., Chae, Oksam
Format:	Artikel
Sprache:	eng
Schlagworte:	Blocking DCT Degradation Degraded media archive Digital Digital dropout Digitization Dropouts Edge detection Genetic algorithm Mathematical models Media Quality assurance Support vector machine
Online-Zugang:	Volltext
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