Research Paper

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. …

This paper introduces the Automated Two-Dimensional K-Means (A2DKM) algorithm, a novel unsupervised clustering technique. The proposed technique differs from the conventional clustering techniques because it eliminates the need for users …

K-means algorithm and ant clustering algorithm are all traditional algorithms. The two algorithms can complement each other. The combination of two algorithms will improve clustering’s accuracy and speed up algorithm’ …

In medical image processing, interactive image segmentation is an important part, because it can obtain accurate segment results with less human effort compared with manual scribing. We proposed an improved …

The basic developing a digital image watermarking (DIW) objective approach is to satisfy both robustness and imperceptibility requirement. Digital watermarking (DW) appears as a capable means of protection multimedia contents …