Recursive Super - Resolution Restoration of Continuous ImageSequence - Adaptive Filtering
نویسندگان
چکیده
This paper presents a new method based on adaptive ltering theory for super-resolution restoration of continuous image sequences. The proposed methodology suggests least squares (LS) estimators which adapt in time, based on adaptive lters (LMS or RLS). The adaptation enables the treatment of linear space and time variant blurring and arbitrary motion, both of them assumed known. The proposed new approach is shown to be of relatively low computational requirements. Simulations demonstrating the super-resolution restoration algorithms are presented.
منابع مشابه
Superresolution restoration of an image sequence: adaptive filtering approach
This paper presents a new method based on adaptive filtering theory for superresolution restoration of continuous image sequences. The proposed methodology suggests least squares (LS) estimators which adapt in time, based on adaptive filters, least mean squares (LMS) or recursive least squares (RLS). The adaptation enables the treatment of linear space and time-variant blurring and arbitrary mo...
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