If you’re genuinely interested in camera shake effects or the Universe suite, I’d be glad to write a deep, useful post on any of these legitimate topics:
If you are using this in a bibliography, cite the paper "Good Image Priors for Blind Deconvolution" (Sun et al., 2013) . If you are referencing the specific files used for training/testing, refer to it as the "Real-world Camera Shake Dataset" provided by Sun et al. uni.camera shake download
Blind deconvolution aims to recover a sharp image from a blurred image without knowing the blur kernel. The success of blind deconvolution relies heavily on prior knowledge about the blur kernel and the sharp image. This paper introduces a new dataset of real-world blur kernels estimated from sharp/blurry image pairs. The authors use this dataset to analyze the statistics of real camera shake and propose a new method for blind deconvolution that outperforms existing methods on real-world examples. If you’re genuinely interested in camera shake effects
A free trial is available through the Maxon App. The success of blind deconvolution relies heavily on