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Recent years have seen growing interest in the problem of super-resolution restoration of video sequences. Whereas in the traditional single image restoration problem only a single input image is available for processing, the task of reconstructing super-resolution images from multiple undersampled and degraded images can take advantage of the additional(More)
We present a new approach for improving the effective dynamic range of cameras by using multiple photographs of the same scene taken with different exposure times. Using this method enables the photographer to accurately capture scenes that contain high dynamic range by using a device with low dynamic range, which allows the capture of scenes that have both(More)
This paper presents an approach for improving the effective dynamic range of cameras by using multiple photographs of the same scene taken with different exposure times. Using this method enables the photographer to accurately capture scenes that contain a high dynamic range, i.e., scenes that have both very bright and very dark regions. The approach(More)
Extensive destruction of primordial follicles by exposure to ovarian toxicants can cause early menopause in women. Primordial follicle destruction is known to result from dosing of mice and rats with three polycyclic aromatic hydrocarbons (PAHs), contaminants commonly found in cigarette smoke. Therefore, the purpose of this study was to compare relative(More)
by Sean Borman Multiframe superresolution restoration refers to methods for still image and video restoration from multiple low-resolution, degraded observed images derived from an underlying scene. These methods extend classical single frame image restoration methods by simultaneously utilizing information from multiple observed images to achieve(More)
A simultaneous multi-frame super-resolution video reconstruction procedure, utilizing spatio-temporal smoothness constraints and motion estimator confidence parameters is proposed. The ill-posed inverse problem of reconstructing super-resolved imagery from the low resolution, degraded observations is formulated as a statistical inference problem and a(More)
A simultaneous multi-frame super-resolution video reconstruction procedure, utilizing spatio-temporal smoothness constraints and motion estimator confidence parameters is proposed. The ill-posed inverse problem of reconstructing super-resolved imagery from the low resolution, degraded observations is formulated as a statistical inference problem and a(More)
Multi-frame super-resolution restoration refers to techniques for still-image and video restoration which utilize multiple observed images of an underlying scene to achieve the restoration of super-resolved imagery. An observation model which relates the measured data to the unknowns to be estimated is formulated to account for the registration of the(More)