Omni-gradient-based total variation minimisation for sparse reconstruction of omni-directional image

Total variation (TV) minimisation algorithms have been successfully applied in compressive sensing (CS) recovery for natural images owing to its advantage of preserving edges. However, traditional TV is no longer appropriate for omni-directional image processing because of the distortions in catadio...

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Veröffentlicht in:	IET image processing 2014-07, Vol.8 (7), p.397-405
Hauptverfasser:	Lou, Jingtao, Li, Yongle, Liu, Yu, Tan, Shuren, Zhang, Maojun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences catadioptric imaging systems compressed sensing compressive sensing recovery CS recovery Distortion edges preservation Exact sciences and technology gradient methods Image processing Image quality Image reconstruction image restoration Imaging Information, signal and communications theory minimisation natural images objective evaluation omnidirectional image processing omni‐gradient computing method omni‐gradient‐based total variation minimisation omni‐TV regularisation Reconstruction Sampling, quantization Signal and communications theory Signal processing sparse reconstruction subjective evaluation Telecommunications and information theory Television
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