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A Discretize-then-Optimize Approach to Super-Resolution Reconstruction and Motion Estimation


The process of recovering a high-resolution (HR) image from a set
of distorted (i.e. deformed, blurry, noisy, etc.) low-resolution (LR) images
is known as super-resolution. Super-resolution problem will require
the reconstruction of the HR image and estimations of motion
between LR images. In this study, image reconstruction and motion
estimation will be treated as a coupled problem. The proposed algorithm
uses an inverse model followed by a discretize-then-optimize
approach. Preliminary experiments on test data will be presented.