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The contrast in real world scenes is often beyond what consumer cameras can capture. For these situations, High Dynamic Range (HDR) images can be generated by taking multiple exposures of the same scene. When fusing information from different images, however, the slightest change in the scene can generate artifacts which dramatically limit the potential of(More)
Although there has been much interest in computational photography within the research and photography communities, progress has been hampered by the lack of a portable, programmable camera with sufficient image quality and computing power. To address this problem, we have designed and implemented an open architecture and API for such cameras: the(More)
We present an image enhancement algorithm based on fusing the visual information present in two images of the same scene, captured with different exposure times. The main idea is to exploit the differences between the image degradations that affect the two images. On one hand the short-exposed image is less affected by motion blur, whereas the long-exposed(More)
We present a novel approach to HDR (high-dynamic-range) image fusion that copes with image blur degradation often present in long-exposed images. The proposed approach can deal with both camera and object motion blur in a computationally efficient manner suitable for implementation on a mobile device. The main idea is to exploit the differences between the(More)
In this paper we introduce a new method of motion blur identification that relies on the availability of two, differently exposed, image shots of the same scene. The proposed approach exploits the difference in the degradation models of the two images in order to identify the point spread function (PSF) corresponding to the motion blur, that may affect the(More)
In this paper we investigate the problem of recovering the motion blur point spread function (PSF) by fusing the information available in two differently exposed image frames of the same scene. The proposed method exploits the difference between the degradations which affect the two images due to their different exposure times. One of the images is mainly(More)