In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel approach to estimate the amount of spatially varying defocus blur at edge locations. We re-blur the input image and show that the gradient magnitude ratio between the input and re-blurred images depends only on the amount of defocus...

calcium fluoride nanoparticles with special amount of cerium ion (%1) were synthesized by coprecipitation. fourier transforms infrared spectroscopy (ftir), x-ray diffraction (xrd), absorption and photoluminescence (pl) from caf2ce nanoparticles has been investigated. ftir spectra reveal that there are some amounts of oh, no3 and other organic functional groups on the particle surfaces before th...

In this research paper, we present a novel frame work for handling $m$-polar information by combining the theory of $m-$polar fuzzy  sets with graphs. We introduce certain types of edge regular $m-$polar fuzzy graphs and edge irregular $m-$polar fuzzy graphs. We describe some useful properties of edge regular, strongly edge irregular and strongly edge totally irregular $m-$polar fuzzy graphs. W...

In this paper the comparative analysis of different edge detection algorithms is presented. The edge is the basic characteristic of image. In an image, an edge is a curve that follows a path of rapid change in image intensity. Edges are often associated with the boundaries of objects in a scene. Edge detection is used to identify the edges in an image and significantly reduces the amount of dat...

Visualizing graphs containing many nodes and edges efficiently is quite challenging. Drawings of such graphs generally suffer from visual clutter induced by the large amount of edges and their crossings. Consequently, it is difficult to read the relationships between nodes and the high-level edge patterns that may exist in standard nodelink diagram representations. Edge bundling techniques have...

Edge detection from images is one of the most important concerns in digital image and video processing. Edge detection is very useful in computer vision for extracting meaningful information from images. Real time edge detection is implemented on the platform that consists of the TMS320DM6437 DSP, camera, TV tuner, Display and canny edge detection algorithm. The main goal of our technique is to...

We investigate the quality of aggregation and predictive analytics in edge computing environments. Edge analytics require pushing processing and inference to the edge of a network of sensing & actuator nodes, which enables huge amount of contextual data to be processed in real time that would be prohibitively complex and costly to transfer on centralized locations. We propose a quality-aware, t...

Abstract: In this paper, a simple lossless image compression method is introduced for compressing medical images, it is based on efficiently exploiting the polynomial representation model along with wavelet transform according to the block nature whether edge or non-edge block. The test shown high compression performance achieved with fully grunted reconstruction, its flexibility of use leads t...

We propose a generalization of the chiral Luttinger liquid theory to allow for a unified description of quantum Hall edges with or without edge reconstruction. Within this description edge reconstruction is found to be a quantum phase transition in the universality class of a one-dimensional dilute Bose gas transition, whose critical behavior can be obtained exactly. At principal filling factor...

This paper shows that in edge detection the regularization factor is a better scale parameter than the standard deviation () of the Gaussian pre-lter. The scale space, which exhibits the evolutionary behaviour of an edge in various scales, is the basis for the design of a multiscale edge detector MRCBS. In MRCBS, the scale is determined adaptively according to the local noise level; the thresho...