Robust inter-scale non-blind image motion deblurring

Kernel estimate errors and image noise are major causes of visual artifacts in image motion deblurring. We propose an inter-scale non-blind image motion deblurring approach that significantly reduces those artifacts. We use Gaussian Scale Mixture Field of Experts (GSM FOE) model as image prior. The inter-scale smoothness constraint is adopted to suppress the ringing artifacts. In each scale, image details are recovered by the residual deconvolution and the cross bilateral filter (CBF). We further propose a std-controlled CBF to denoise the result. The experimental results are much better than those of previous methods.