Image registration is an important and fundamental task in image processing used to match two different images. Given two or more different images to be registered, image registration estimates the parameters of the geometrical transformation model that maps the sensed images back to its reference image. A feature-based approach to automated imageto-image registration is presented. The characte...

This paper presents a new technique for copyright protection of images using integer wavelet transform (IWT), singular value decomposition (SVD) and Arnold transform. We divide the cover image into four sub-images by picking alternate pixels from consecutive rows and columns and embed the copyright mark into the sub-image having the largest sum of singular values. The embedding is done by modif...

We conjecture a geometrical form of the Paley–Wiener theorem for the Dunkl transform and prove three instances thereof, by using a reduction to the one-dimensional even case, shift operators, and a limit transition from Opdam’s results for the graded Hecke algebra, respectively. These Paley– Wiener theorems are used to extend Dunkl’s intertwining operator to arbitrary smooth functions. Furtherm...

Available visualization tools are mostly devoted to representation of an ontology only in one certain geometry and in one chosen dimension. We present our ontology visualization approach where the reasoner is used to transform an ontology to the graph structure. This graph structure can be visualized with 5 different geometrical representations, with different level of depth, and with a subset ...

In this paper we present a corner detection which makes use of eigenvalues of covariance matrices of different support regions over edge points. Edges are first extracted through the use of Canny edge detection, and then determine corners according to eigenvalues product of covariance matrices of the edge at various regions of support. Experimental results show that the proposed method has more...

This paper presents the vision-based road detection system currently installed onto the MOB-LAB land vehicle. Based on a geometrical transform and on a fast morphological processing, the system is capable to detect road markings even in extremely severe shadow conditions on at and structured roads. The use of a special-purpose massively architecture (PAPRICA) allows to achieve a processing rate...

We analyze a class of quantum operations based on a geometrical representation of d−level quantum system (or qudit for short). A sufficient and necessary condition of complete positivity, expressed in terms of the quantum Fourier transform, is found for this class of operations. A more general class of operations on qudits is also considered and its completely positive condition is reduced to t...

Spatial scaling – the ability to transform distance information from one space to another space of different size – constitutes an integral aspect of many spatial tasks that involve different representational systems or symbol-to-referent correspondences (e.g., map reading, navigation, drawing, etc.). It potentially also bears relevance to physical, geometrical or mathematical reasoning, which ...

We present a new method for the reduction of noise in images, using a wavelet transform. The method relies on two principles. The rst is the characterization of the local function regularity by wavelet coeecients. The second is an a priori, geometrical model for wavelet coeecients. Both are combined in a Bayesian framework, to compute for each wavelet coeecient the probability of being \suu-cie...

The ability to recognize people is a key element for improving naturalistic human-robot and human-computer interaction systems. In this paper, we propose a binary nonsubsampled contourlet transform (B-NSCT) based illumination robust face representation. Faces are transformed into multi-scale and multi-directional contour information where the intrinsic geometrical structures are used for charac...