A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...

We used a spatially broadband optical parametric amplifier for image amplification. In the phasesensitive configuration of the amplifier, we observed noiseless amplification of input images. For a gain of 2.5, we measured noise-figure values of (0.2 6 0.6) and (0.4 6 0.5) dB, respectively, for two amplifiers of different lengths. These experimental values agree with theory (for an ideal noisele...

Optical flow is one of the standard computer vision methods for computing motion vectors. The key idea is to derive motion vectors from intensity gradients and differences of subsequent images. This model is analogous to advection equations in meteorology which motivates testing the method for weather radar data. Also the computational simplicity of optical flow makes it an interesting alternat...

Background: Medical image interpolation is recently introduced as a helpful tool to obtain further information via initial available images taken by tomography systems. To do this, deformable image registration algorithms are mainly utilized to perform image interpolation using tomography images.Materials and Methods: In this work, 4DCT thoracic images of five real patients provided by DI...

Introduction One of the most important pre-processing steps in optical coherence tomography (OCT) is reducing speckle noise, resulting from multiple scattering of tissues, which degrades the quality of OCT images. Materials and Methods The present study focused on speckle noise reduction and edge detection techniques. Statistical filters with different masks and noise variances were applied on ...