We present a new mathematical formulation for curve and surface reconstruction algorithms by introduction of auxiliary variables. For deformable models and templates, two-step iterative algorithms have been often used where, at each iteration, the model is first locally deformed according to the potential data attraction and then globally smoothed. We show how these approaches can be interprete...

In this paper, we propose a new method that can remove view-disturbing noises from images of dynamic scenes. One of the thorny problems in outdoor surveillance by a camera is that adherent noises such as waterdrops or mud blobs on the protecting glass surface lens disturb the view from the camera. Therefore, we propose a method for removing adherent noises from images of dynamic scenes taken by...

The restoration of an incomplete image from a known part and experimental data in the form of the Fourier amplitude squared sums is formulated as a Bayesian estimation problem. This problem is motivated by the structure completion problem in x-ray fiber diffraction analysis. An appropriate prior of uniformly distributed impulses is used. The Bayesian MMSE and MAP estimates are obtained. Simulat...

Motion blur is a smearing of the image due to a long aperture time. We show that when two motion-blurred images are available, having different blur directions, image restoration can be improved substantially. In particular, the direction of the motion blur and the PSF (Point Spread Function) of the blur can be computed robustly. 2004 Published by Elsevier B.V.

In this paper, we propose a new method for the restoration of deteriorated images by using multiple cameras. In outdoor environment, it is often the case that scenes taken by the cameras are hard to see because of adherent noises on the surface of the lens-protecting glass of the cameras. Our proposed method analyses multiple camera images describing the same scene, and synthesizes an image in ...

In this paper, we construct a actual system of image inpainting based on the image inpainting system model[1] which was proposed before, in order to repair more types, more broken images in the different field and restore them more efficiently ,because there is no one “universal” or more general algorithm can repair all types of images. The proposed system integrates the commonly used several t...

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Compressed Sensing Based Image Restoration Algorithm with Prior Information: Software and Hardware Implementations for Image-Guided Therapy