We are developing a frontend that is based on the image representation in the visual cortex and plausible processing schemes. This frontend consists of multiscale line/edge and keypoint (vertex) detection, using models of simple, complex and end-stopped cells. This frontend is being extended by a new disparity model. Assuming that there is no neural inverse tangent operator, we do not exploit G...

We present an efficient algorithm for image restoration from highly noised originals. The algorithm is based on diverse library of tight and semi-tight wavelet frames. Unlike majority of current denoising methods, which threshold the transform coefficients, our algorithm performs direct and inverse multiscale transforms using properly modified frame filters. No thresholding is applied. The proc...

\Scale-space" is an important recent concept used in image and signal processing and pattern recognition. Traditional scale-space is generated by a linear Gaus-sian smoothing operation. We present here a nonlinear type of smoother corresponding to the multiscale opening and closing operations of mathematical morphology which also generates a \scale-space." We show that a parabolic structuring e...

Analyses based on Symmetric Daubechies Wavelets (SDW) lead to complex-valued multiresolution representations of real signals. After a recall of the construction of the SDW, we present some speciic properties of these new types of Daubechies wavelets. We then discuss two applications in image processing: enhancement and restoration. In both cases, the eeciency of this multiscale representation r...

A new set of features for personal verification and identification based on iris image is proposed in this paper. The method consists of three major components: image pre-processing, feature extraction and classification. During image pre-processing, the iris segmentation is carried out using Restricted Circular Hough transformation (RCHT). Then only two disjoint quarters of the segmented iris ...

Multiscale analysis initially proposed in image processing domain, turned out to be an effective tool in many other areas. It has been also proposed for motion data trajectories parametrized in quaternion space. In this paper we introduce novel approach, which is the framework for non-linear scale space analysis of quaternion trajectories. In the paper theoretical basis has been proposed and nu...

The curvelet transform as a multiscale transform has directional parameters occurs at all scales, locations, and orientations. It is superior to wavelet transform in image processing domain. This paper analyzes the characters of DSA medical image, and proposes a novel approach for DSA medical image fusion, which is using curvelet information entropy and dynamic fuzzy logic. Firstly, the image w...

Image in-painting is the art of restoring lost and selected parts of an image based on the background information in such a way so that the change is not observed by the observer. Image In-painting is very important and emerging field of research in image processing. Image Inpainting algorithm have numerous applications such as rebuilding of damaged photographs & films, heritage preservation, r...

For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interest in the use of hexagonal images: biologically inspired approaches, representation of architectures for such images and general hexagonal image processing. We present multiscale hexagonal gradient...