Image restoration or deconvolution of a blurred natural image is a mature research activity with a rich set of available techniques and algorithms, well-summarised in review articles, Banham & Katsaggelos (1997); Kundur & Hatzinakos (1996). Despite this history and volume of work, there is current research activity motivated by the desire to find yet superior methods to restore the ground truth...

The recovery of spectral reflectances from camera responses is usually composed of several distinct operations. We propose a new approach that connects edge-preserving denoising, deblurring and spectral reconstruction. Each of the steps is based on actual physical properties of the camera system that can be obtained using established methods, and the filter eliminates the need for manual sharpe...

| A directional selective restoration method is described. The adaptivity is based on the estimation of the local SNR of the ideal image. In order to achieve directional adaptiv-ity, a directional selective transform, based on a discrete short time Fourier transform is presented. The results obtained are compared with a non-directional selective restoration method.

A Bayesian image processing model is proposed based on a Markovian Multinomial Prior. The technique has application in texture segmentation where its introduction of spatial context can improve segmentation accuracy by 60%. Other applications include general image restoration where 18 dB SNR improvement is possible. In addition, the computational complexity of the system is low, making it ideal...

We utilize in this work a new class of random fields on some given set of sites, which are invariant under the action of a transit ion probability which synchronously updates the states of all sites. We illustrate, with an issue of image restoration, the usefulness of these models, and their feasibility for practical applications. We begin by a summary of the definition of p-periodic synchronou...

This paper describes a method to restore degraded images captured in general participative media — fog, turbid water, sand storm, etc. To obtain generality, we, first, propose a novel interpretation of the participative media image formation by considering the color variation of the media. Second, we introduce that joining different image priors is an effective alternative for image restoration...

Identification of motion parameters is an important issue in image restoration of a linear motion blur. Based on the human visual-motion sensing properties, an integrated approach with some known image processing techniques is proposed to the estimation of the direction and extent of motion on a linear motion blurred image. Experimental results confirm the feasibility of our approach. key words...

The complex image degradations observed in (video) image sequences are often due to partial-response mechanisms caused by the physical limitations of practical cameras. The restoration of these distortions require more sophisticated image models that consider the underlying image acquisition process. In this work, a broad class of spatially varying distortions is de ned. The observed image is m...

In this paper, a vector distance histogram based adaptive vector filter is proposed for the restoration of color images contaminated by channel correlated impulse noise. Test results on natural image have shown that the new method is superior in suppressing impulse noise while preserving high image details with a marked performance gain over existing state-of-the-art filters.