A 3-dimensional canonical target known as SLICY (Sandia Laboratory Implementation of Cylinders) and the corresponding measured SAR (Synthetic Aperture Radar) image data of SLICY are used to validate the synthetic target image generation process. Computed SAR images of the SLICY target from an electromagnetic code sampled over 360 degrees in azimuth and at two elevation angles are evaluated by c...

Edge-preserving image smoothing is one of the fundamental tasks in the field of computer graphics and computer vision. Recently, L0 gradient minimization (LGM) has been proposed for this purpose. In contrast to the total variation (TV) model which employs the L1 norm of the image gradient, the LGM model adopts the L0 norm and yields much better results for the piecewise constant image. However,...

This memo presents the case for adding smaller antennas to the ALMA array. Smaller, higher precision antennas are better able to exploit the excellent submillimeter potential of the 5000 m altitude site, and are better matched to the angular size of many submillimeter sources. Model studies show that the image delity of mosaiced observations with the ALMA array will be limited by pointing and s...

Interventional neuroradiology is a growing field of minimally invasive therapies that includes embolization of aneurysms and arteriovenous malformations, carotid angioplasty and carotid stenting, and acute stroke therapy. Treatment is performed using image-guided instrument navigation through the patient's vasculature and requires intricate combination of visual and tactile coordination. In thi...

A new variational image model is presented for image restoration using a combination of the curvelet shrinkage method and the total variation (TV) functional. In order to suppress the staircasing effect and curvelet-like artifacts, we use the multiscale curvelet shrinkage to compute an initial estimated image, and then we propose a new gradient fidelity term, which is designed to force the grad...

Recognition of binary images through the use of a string of numbers is outlined. The string of numbers representing the image leads to a large amount of compression and this compressed image comprising of strings of numbers can be successfully transmitted and reproduced with desired fidelity. Recognition of binary images in the form of Bengali alphabets has been successfully achieved for differ...

&U3S”lllA~ We have developed a technique for image analysis, representation, and decomposition. This technique was motivated by Stephanc Mallat’s matching-pursuit algorithm. We’ve altered and simplified the mechanics of his algorithm to enable an extremely fast implementation via optical processing. Initial computer simulations show that our algorithm is capable of decomposing and representing ...

In digital histopathology traditionally prepared and stained slides are scanned in a dedicated scanner to produce extremely high resolution images.The resultant image fidelity is affected bymany variables including the staining processes, scanner design/setup, and ultimately the image display. Little or no routine quality control is applied at any of these stages and as a result widely varying ...

This paper deals with the minimization of the total variation under a convex data fidelity term. We propose an algorithm which computes an exact minimizer of this problem. The method relies on the decomposition of an image into its level sets. Using these level sets, we map the problem into optimizations of independent binary Markov Random Fields. Binary solutions are found thanks to graphcut t...

Representing image files as simple arrays of pixels is generally very inefficient in terms of memory. Storage space and network bandwidth is limited so it is necessary to compress image files. There are many methods that achieve very high compression ratios by allowing the data to be corrupted in ways that are not easily perceivable to the human eye. A new concept is described, combining fracta...