Compressive sensing (CS) reconstructs images from a small number of projections. We propose EdgeCS edge guided CS reconstruction to recover images of higher qualities from fewer measurements than the current state-of-the-art methods. Accurate edge information can significantly improve image recovery quality and speed, but such information is encoded in the CS measurements of an image. To take a...

We present a method for navigating a robot from an initial position to a speciied landmark in its visual eld, using a sequence of monocular images. The location of the landmark with respect to the robot is determined based on the change in size and location of the landmark in the image, as a function of the motion of the robot. The change in size and location of the landmark in the image are de...

MACHINE LEARNING: FROM EDGE TO CLOUD Machine learning applications are rapidly expanding across a growing number of end markets, resident at the edge, in the cloud, or a hybrid where edge processing is combined with access to cloud-based data analytics. For the cloud, Xilinx recently introduced the Reconfiguration Acceleration Stack (launched November 2016), targeting a wide range of compute ac...

It is typical in edge detection applications to examine a single scale or to consider some space of scales in the image without knowing which scale is appropriate for each location in the image. However, many images contain a wide variation in the distance to the scene points, and thus objects of the same size can appear at greatly diiering scales in the image. We present a method where the sca...

Image acquisition techniques introduce various types of artifacts and noise such as additive white gaussian noise, salt and pepper noise etc, so image denoising is an essential preprocessing step in digital image processing. It is clear from the background study of denoising, conventional methods are not much effective in reducing the noise in the image. In this work, a novel approach which int...

In this work, we propose a new approach for efficient edgepreserving image deconvolution. Our algorithm is based on a novel type of explicit image filter guided filter. The guided filter can be used as an edge-preserving smoothing operator like the popular bilateral filter, but has better behaviors near edges. We propose an efficient iterative algorithm with the decouple of deblurring and denoi...

We find that electromagnetic waves can be guided at the edge of a three-dimensional photonic crystal in air. When the waveguide is defined by the intersection of two surface planes, the edge modes are associated with the corresponding surface bands. A simple cell counting approach is presented to describe the periodic evolution of the system with interesting interplays among edge, surface, and ...

AbstructThis paper presents a new edge detection scheme that detects two-dimensional (2-D) edges by a curve-segment-based detection functional guided by the zero-crossing contours of the Laplacian-ofGaussian (LOG) to approach the true edge locations. The detection functional is shown to be optimal in terms of signal-to-noise ratio (SNR) and edge localization accuracy; it also preserves the nice...