Abstract
The use of a nonlinear filter for super-resolution of a single image is presented. A nonlinear iterative solution procedure is derived from an approximate Newton method for minimizing errors in low-resolution images reconstructed from estimated high-resolution images. We use the bilateral filter for image smoothing in the reconstruction steps. Our method was shown to produce high-resolution images without halos around edges and with enhanced fine textures.
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