We present a new image recovery algorithm to remove, in addition to blocking, ringing artifacts from compressed images and video. This new algorithm is based on the theory of projections onto convex sets (POCS). A new family of directional smoothness constraint sets is defined based on line processes modeling of the image edge structure. The definition of these smoothness sets also takes into a...

While region-based image alignment algorithms that use gradient descent can achieve sub-pixel accuracy when they converge, their convergence depends on the smoothness of the image intensity values. Image smoothness is often enforced through the use of multi-scale approaches in which images are smoothed and downsampled. Yet, these approaches typically use fixed smoothing parameters which may be ...

in this study digital image correlation (dic) technique combined with a high speed video system was used to predict movement of particles in a water model. comparing with particle-image velocimetry (piv) technique, it provides a low cost alternative approach to visualize flow fields and was successfully employed to predict the movement of particles in a water model at different submergence dept...

Wavelet-based techniques proved to be a promising approach for estimating the disparity between two stereo images. The complex-valued Gabor f ilter responses reduce the ambiguity of raw image intensities, and their phase differences between left and right image provide a direct measure for the disparities. Experience shows that such phasebased measurements are reliable near edges but yield poor...

Motivated by an adaptive method for image approximation, which identifies ”smoothness domains” of the image and approximates it there, we developed two algorithms for the approximation, with small encoding budget, of smooth bivariate functions in highly complicated planar domains. The main application of these algorithms is in image compression. The first algorithm partitions a complicated plan...

Due to the absorption and scattering effects of water, underwater images tend suffer from many severe problems, such as low contrast, grayed out colors blurring content. To improve visual quality images, we proposed a novel enhancement model, which is trainable end-to-end neural model. Two parts constitute overall The first one non-parameter layer for preliminary color correction, then second p...

In this paper, we propose computationally efficient super-resolution restoration algorithms for blurred, noisy and down-sampled continuous image sequences. The proposed approach is a generalization of the stochastic estimation based methods (the ML and the MAP estimators) for the restoration of single blurred and noisy images. The blur, decimation, and noise degredations are modeled as a sparse...

The present paper is mainly concerned with establishing conditions which .assure that all lattice regular measures have additional smoothness properties or that simply all two-valued such measures have such properties and are therefore Dirac measures. These conditions are expressed in terms of the general Wallman space. The general results are then applied to specific topological lattices, yiel...

BACKGROUND Altered biomechanics and/or neural control disrupt the timing of postures and muscle patterns necessary for smooth and regular stepping. Harmonic ratio of trunk accelerations has been proposed as a measure of smoothness of walking. We sought to validate this measure of smoothness by examining the measure in groups expected to differ in smoothness (ie, young and old) and across walkin...

The tracking method presented in this paper is based on an active-contour algorithm for pose refinement. The most important innovation with respect to most active-contour methods is that no ”features” are detected at any stage: the goodness-of-fit measure for the model is a smooth function (without thresholds) of both model parameters and image grey-levels. This smoothness leads to an estimate ...