This paper presents an efficient algorithm for solving a balanced regularization problem in the frame-based image restoration. The balanced regularization is usually formulated as a minimization problem, involving an 2…
Image deblurring is one of the fundamental problems in the image processing and computer vision fields. In this paper, we propose a new approach for restoring images corrupted by blur…
In this paper, a novel and simple restoration based fog removal approach is proposed. Here, we proposed an approach which is based on gamma transformation method and median filter. Transmission…
This paper deals with estimation of parameters for motion blurred images. The objectives are to estimate the length (L) and the blur angle () of the given degraded image as…
The restoration of motion blurred images is a hot shot in the field of image processing. In this paper, The degradation model of motion blurred images is clarified, and the…
A new model for impulse noise reduction with a recursive and noise-exclusive fuzzy switching median filter is proposed. The filter uses a S-type membership function for fuzzifying the noisy input…
Satellite imaging is being the most attractive source of information for the governmental agencies and the commercial companies in last decade. The quality of the images is very important especially…
5:45:58 PMion Level set methods are a popular way to solve the image segmentation problem. The solution contour is found by solving an optimization problem where a cost functional is…
In this paper, we propose a new transmission model using LO norm for image fog removal. In the prior work, the bilateral filter was used to reduce the halo artifacts.…
In this paper, we propose the method for recognizing the degree of snowfall automatically even if most of backgrounds are covered with snow and the visibility is low by fog.…
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