Towards a Nash game strategy approach to blind image deconvolution: a fractional-order derivative variational framework
Image restoration is a critical process aimed at recovering degraded images, often impacted by factors including motion blur, sensor blurring, defocused photography, optical aberrations, atmospheric distortions, and noise-induced blur. The inherent challenge lies in the typical scenario where both the original image and the blur kernel (Point Spread Function, PSF) are unknown. This restorative process finds applications in various fields, including sensing, medical imaging, astronomy, remote sensing, and criminal investigations. This paper introduces an innovative ap