In this work we develop a post-processing algorithm which enhances the results of the
existing image deblurring methods. It performs additional edge sharpening using grid …

Lossy image compression allows for large storage savings but at the cost of reduced fidelity
of the compressed images. There is a fair amount of literature aiming at restoration by …

Optical sensors cannot penetrate clouds and can cause serious missing data problems in
optical-based Land Surface Temperature (LST) products. Under cloudy conditions …

An experimental study shows the feasibility of service-oriented architectures for industrial
automation and control systems even with respect to lower, real-time dependent control …

In this paper, a Bregman iteration based total variation image restoration algorithm is
proposed. Based on the Bregman iteration, the algorithm splits the original total variation …

This paper proposes new and original adaptive image ringing detection and ringing
suppression methods. Ringing detection is performed using a scale-space based …

In this paper we propose a new variational image deringing method. This method is based
on total variation minimization with an adaptively varying regularization parameter. The …

The paper presents an adaptive image deblurring method with ringing control. Images are
split in analogy with unsharp mask into low-and high-frequency components. Edges are …

We define the new idea of blind image repair as a process of correcting one or more
different and unknown types of distortions afflicting an image. These distortions could …

The problem of non-reference ringing detection is considered. The idea of the proposed
method is to decompose the input edges into the sums of blurred edge, ringing oscillations …