Zoom Based Super-Resolution Through SAR Model Fitting (TP-L1)

Author(s) : M. V. Joshi (IIT Mumbai, India) Subhasis Chaudhuri (IIT Mumbai, India)

Abstract : We propose a technique for super-resolution imaging of a scene from observations at different camera zooms. Given a sequence of images with different zoom factors of a static scene, we obtain a picture of the entire scene at a resolution corresponding to the most zoomed observation. We model the high resolution image as a simultaneous autoregressive (SAR) model, the parameters of which are learnt from the most zoomed observation. Assuming that the entire scene can be described by a homogeneous SAR model, the learnt parameters are then used in a suitable regularization technique to estimate the high resolution field.

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