Image Deconvolution Sample Clauses

Image Deconvolution. ‌ Image deconvolution, also called restoration and deblurring, is the process of restoring a clear image from a blurry image. There are many approaches to this problem [1, 2, 25]; of them, we focus on a particular model-based approach, where the process causing the image blur is known exactly or approximately. This works well for a variety of imaging applications, such as the original motivating deconvolution problem of astronomical imaging from satellites [2, 7, 32]. Given the blurry image and a model of the blur, we seek to restore the clear image. In our applications, the blurry image is measured directly, but the blur model is only indirectly measured as a point spread function (PSF). A point spread function indicates how a single point source of light is spread out due to the blur in the optical system. An example of a Gaussian PSF from the RestoreTools package [39] is shown in Figure 2.1. → Point source PSF
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