Embedded local adaptive Gaussian mixture models for whole image super-resolution
Embedded local adaptive Gaussian mixture models for whole image super-resolution is a scholarly work, published in 2018 in ''Journal of Electronic Imaging''. The main subjects of the publication include image, regularization, mixture model, artificial intelligence, Gaussian, digital image processing, computer vision, super-resolution imaging, autofocus, photoacoustic imaging, image restoration, image resolution, pattern recognition, computer science, and resolution. The authors have evaluated both AGMMs and EAGMMs on a variety of test images, and obtained very promising and competitive performance.