image restoration

image restoration

[′im·ij ‚res·tə′rā·shən]
(computer science)
Operation on a picture with a digital computer to make it more closely resemble the original object.
References in periodicals archive ?
Coverage includes pollution liability incidents associated with transportation, non-owned sites and time-element pollution accidents at owned sites, as well as costs related with image restoration, disinfection events and pre-claim expenses.
Women's World Cuppers continue their campaign for image restoration in a group stage finale vs.
Among the topics are jumping fuzzy finite automata and their languages, web mining of political homophily in the congressional twitter community, the fuzzy mean-absolute deviation portfolio model with inflation, applying fuzzy control to observational error covariance matrices for data assimilation, noisy image restoration using a modified artificial bee colony algorithm, and non-contact heart rate measurement based on facial video.
The latent images show that the method based on the salient intensity prior can extract regions with salient structures more accurately, which is helpful for image restoration.
This was used for the first time in image restoration by Frieden [5].
The challenge aims to advance the analysis of images collected by small UAVs by improving image restoration and algorithm performance.
The dual formulation of the ROF model was first introduced in image restoration by Chan, Golub, and Mulet [11].
For the regularization term, it is also possible to use the low-rank property in the image restoration. For tensor completion, regularization with rank is known to obtain superior reconstructions [26].
Currently, most of image defogging algorithms are based on image restoration, the core idea of which is as follows: firstly, an imaging mode should be established; secondly, the degraded part of the imaging model is compensated and the interferential part of it is filtered; thirdly, the clear image is restored [5-17].
ABSTRACT: Blurred face image restoration algorithm by using image gradient magnitude prior model is presented.
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction.
In medical image processing, image restoration plays a major role of reducing the details of the images and to retain the images up to its quality.