Image Restoration Under Significant Additive Noise
Image Restoration Under Significant Additive Noise is a scholarly work, published in 2007 in ''IEEE Signal Processing Letters''. The main subjects of the publication include Deblurring, image, pattern recognition, super-resolution imaging, Image gradient, image restoration, noise, computer science, artificial intelligence, noise reduction, kernel, digital image processing, image noise, mathematics, image segmentation, noise measurement, and computer vision. The authors report promising results with these techniques for the case of a known blur kernel.