Super - Resolution
نویسنده
چکیده
The central aim of Super-Resolution (SR) is to generate a higher resolution image from lower resolution images. High resolution image offers a high pixel density and thereby more details about the original scene. The need for high resolution is common in computer vision applications for better performance in pattern recognition and analysis of images. High resolution is of importance in medical imaging for diagnosis. Many applications require zooming of a specific area of interest in the image wherein high resolution becomes essential, e.g. surveillance, forensic and satellite imaging applications.
منابع مشابه
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Super-resolution is a process that combines information from some low-resolution images in order to produce an image with higher resolution. In most of the previous related work, the blurriness that is associated with low resolution images is assumed to be due to the integral effect of the acquisition device’s image sensor. However, in practice there are other sources of blurriness as well, inc...
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Assuming having only one low-resolution image, the study aims to obtain an equivalent image with a higher resolution. This problem is usually referred to as “Super-resolution”. Since the number of unknown target values is far more than that of known values given in the input image, the super-resolution is a severely ill-posed problem. In this paper, a model is developed in order to ...
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