Betweenness centrality ranks the importance of nodes by their participation in all shortest paths of the network. Therefore computing exact betweenness values is impractical in large networks. For static networks, approximation based on randomly sampled paths has been shown to be significantly faster in practice. However, for dynamic networks, no approximation algorithm for betweenness centrali...

Color interpolation solutions drastically influence the quality of the whole image generation pipeline, so they must guarantee the rendering of high quality pictures avoiding typical artifacts such as blurring, zipper effects and false colors. Moreover, demosaicing should avoid emphasizing typical artifacts of real sensors data, such as noise and green imbalance effect, which would be further a...

In this paper we use a new logarithmic model of image representation, developed in [1,2], for edge detection. In fact, in the framework of the new model we obtain the formulas for computing the "contrast of a pixel" and the "contrast" image is just the "contour" or edge image. In our setting the range of values is preserved and the quality of the contour is good for high as well as for low lumi...

A modified edge detection algorithm has been presented here that uses logarithmic transform and Hyperbolic Tangent (HBT) filter. The proposed algorithm incorporates Logarithmic transform along with Luminance and Contrast-Invariant Edge Similarity Measure algorithm for edge detection. The proposed algorithm gives a good quality edge detection of images with improved SSIM value and almost equal o...

The paper propose a new procedure including four stages in order to preserve the desired edges during the image processing of noise reduction. A denoised image can be obtained from a noisy image at the first stage of the procedure. At the second stage, an edge map can be obtained by the Canny edge detector to find the edges of the object contours. Manual modification of an edge map at the third...

In image analysis most commonly used technique is edge detection, probably there are many edge detection techniques are available in the literature of detecting edges .in order to avoid the discontinuities in the image brightness among different regions of an image .we are proposing two edge detection algorithm that are canny edge detection algorithm and fuzzy mathematical morphology based edge...

Feature preserved enhancements are necessary in medical ultrasound images. The quality and important information present in ultrasound images are affected by speckle which makes the post processing difficult. A technique based on rational dilation wavelet transform (RADWT) is applied on medical images to enhance the quality of speckle noise affected images. A new family of wavelet transform is ...

Information security is one of the most significant processes that must be taken into account when confidentially transferring information. This paper introduces a steganography technique using edge detection method. It focused on three basic and important aspects’ payload, quality security. Well-known detectors were used to generate as many pixels possible hide data achieve highest payload. Th...

This survey focuses on the problem of parameters selection in image edge detection by ant colony optimization (ACO) algorithm. By introducing particle swarm optimization (PSO) algorithm to optimize parameters in ACO algorithm, the fitness function based on connectivity of image edge is proposed to evaluate the quality of parameters in ACO algorithm. And the ACO-PSO algorithm is applied to image...