Image deblurring (ID) plays a vital role in various applications, including photography,
medical imaging, and surveillance. Traditional ID methods often face challenges in …

To address the staircasing problem in deblurred images generated by a simple total
variation (TV) based model, one approach is to use the total fractional-order variation …

One of the most important issues in image processing is the approximation of the image that
has been lost due to the blurring process. These types of matters are divided into non-blind …

Blind image deblurring (BID) is a procedure for reducing blur and noise in a deteriorated
image. In this process, the estimation of the original image, as well as the blurring kernel of …

Total fractional-order variation (TFOV) in image deblurring problems can reduce/remove the
staircase problems observed with the image deblurring technique by using the standard …

When deblurring an image, ensuring that the restored intensities are strictly non-negative is
crucial. However, current numerical techniques often fail to consistently produce favorable …

The mean curvature-based image deblurring model is widely used to enhance the quality of
the deblurred images. However, the discretization of the associated Euler–Lagrange …

Motivated by applications in image processing, we consider a class of structured convex
optimization problems in which the objective function is the sum of two component functions …

In this analysis, the solutions of the Linear and Non-Linear models are explored and
compared using two distinct methods: the Finite Difference Method (FDM) and the Physics …