In th is paper, a new accurate subpixel registration for pure shift estimation is proposed. The noise effect, which d isturbs the quality of registration process , is taken into account. The kernel regression method which represents the field of nonparametric statistics is used as a tool for the estimat ion process due to its powerful capabilit ies in the field of both denoising and interpolati...

Exploiting sparsity in the image gradient magnitude has proved to be an effective means for reducing the sampling rate in the projection view angle in computed tomography (CT). Most of the image reconstruction algorithms, developed for this purpose, solve a nonsmooth convex optimization problem involving the image total variation (TV). The TV seminorm is the `1 norm of the image gradient magnit...

ÐWe propose a novel method for object tracking using prototype-based deformable template models. To track an object in an image sequence, we use a criterion which combines two terms: the frame-to-frame deviations of the object shape and the fidelity of the modeled shape to the input image. The deformable template model utilizes the prior shape information which is extracted from the previous fr...

We propose an edge-preserving filtering method with a novel use of the L0 gradient. Our method, termed as the L0 gradient projection, is formulated as the minimization of a quadratic data-fidelity to an input image subject to the constraint that theL0 gradient, the number of non-zero gradients, of the output image is less than a user-given parameter α. This strategy is much more intuitive than ...

fue to the importance of selecting imaging parameters in magnetic resonance brain angiography, this study was carried out to choose optimum theoretical and experimental parameters for improving image controast and resolution and achieve shorter imaging time for practical reasons.a 1.5t super conductive magnet mri with gradient power of 13 nt/m and larmour frequency of 63 mhz with imaging coli o...

High dynamic range images are images that have a ratio between their maximum and minimum intensities greater than that of display or capture devices. One method to create high dynamic range images is to combine a set of differently exposed shoots into a single image that has to be compressed before visualization. Compressing high dynamic range images is thus based on a so called high dynamic ra...

We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We rst show that for an object with Lambertian re ectance there are no discriminative functions that are invariant to illumination. This result leads us to adopt a probabilistic approach in which we analytically determine a probability distribution for the image gradient as a ...

We describe an approach to suppress bleeding artifacts without altering the boundary location in gradient-domain compositing, a technique to create seamless composites. While gradient-domain compositing has become a standard tool for many complex image editing tasks such as seamless cloning, panorama stitching or scene completion, its quality suffers from mismatches in the composited image regi...

Masks are used in optical image processing. They are used to generate gradient maps. These maps are applicable to the enhancement of feature extraction and edge detection. Lagrange mask is presented in this letter and criteria for the characterizations of mask performance are given. Through an illustration the performance of the presented mask is demonstrated where it is compared to that of Gab...

The objective of seismic full waveform inversion (FWI) is to estimate a model of the subsurface that minimizes the difference between recorded seismic data and synthetic data simulated for that model. Although FWI can yield accurate and high-resolution models, multiple problems have prevented widespread application of this technique in practice. First, FWI is computationally intensive, in part ...