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In this paper, a highly efficient pixel compensator architecture for the H.264/AVC standard is proposed which can provide both inter and intra prediction functions for luma and chroma components of pixels. By decomposing the algorithms used for both prediction methods into small micro-operation steps, a suitable common arithmetic unit architecture capable for performing these operations has been determined...
Non-uniform light distribution problems often arise in the text images taken by digital camera. In this paper, we propose a novel technique for text image uneven lighting removal using Empirical Mode Decomposition (EMD). The EMD is local, adaptive and useful for analyzing non-linear and non-stationary signals. In this method, we decompose images by EMD and get the background level locally and adaptively...
Single sensor digital cameras capture one color value for every pixel location. The remaining two color channel values need to be estimated to obtain a complete color image. This process is called demosaicing or Color Filter Array (CFA) interpolation. We propose a directional approach to the CFA interpolation problem that makes use of multiscale color gradients. The relationship between color gradients...
The purpose of this article is to introduce the achievements reached with the Mojette Transform in recent years within our workgroup including from the simple description of the Mojette Transform and the Inverse Mojette Transform which originates form France to a theory of real time application. We introduced the benefits of the transform through its implementation in .Net environment. Describing...
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is introduced in this paper which overcomes the shortcomings of the conventional models easing the computation of the joint density function of images. As an application, this model is used to generate texture patterns. The lower...
In this paper we present the detailed calculations which a geolocation database would need to perform in order to derive location-specific maximum permitted emission levels for white space devices (WSDs) operating in digital terrestrial TV (DTT) bands. We introduce a novel methodology for the calculation of such emission levels, whereby the extent of protection afforded to the DTT service is specified...
This paper presents a real-time stereo algorithm that estimates scene depth information with high accuracy. Our algorithm consists of two novel components. First, we apply a modified two-pass aggregation to the adaptive cost aggregation process, use color similarity to calculate support weight, and introduce a credibility estimation mechanism to reduce accuracy loss during two-pass aggregation. Second,...
This paper proposes a novel application of image inpainting techniques for the edge enhancement problems in image deblurring and denoising. The edge enhancement effect is achieved by the jumps of pixel values at edge locations resulted from an inpainting process. The process is formulated by the eikonal partial differential equation (PDE) to rule the inpainting priority of pixels in automatically...
We describe our approach in education of the course Digital and Analog Circuits, which belongs to curricula of the Informatics study program. For analysis of analog and simple digital circuits we use computer algebra system Mathematica, which minimizes the amount of routine, handy calculations. This fact enables focusing on the problem and solving more examples, which in turn provides better comprehension...
This paper presents an adaptive reconstruction method of missing textures based on structural similarity (SSIM) index. The proposed method firstly performs SSIM-based selection of the optimal known local textures to adaptively obtain subspaces for reconstructing missing textures. Furthermore, from the selected known textures, the missing texture reconstruction maximizing the SSIM index is performed...
Automatic suitable-matching area selection is an important research in visual guidance, scene matching and local non-texture target tracking. Meanwhile, it is the major research subject in computer vision and accurate guidance. In this paper, a new characteristic quantity, i.e., the edge direction dispersion was defined. Then the computation method, parameters selection and real-time realization of...
We present a multi-modal surface reconstruction approach, which utilizes direct surface orientation measurements along with luminance information to obtain high quality 3D reconstructions. The proposed approach models local surface geometry as a set of intersecting natural cubic splines estimated through least squares fitting of our input pixel-wise surface normal measurements. We use this representation...
Verifiability is essential for a secret sharing approach which allows the involved participants to detect cheaters during the secret retrieval process. In this article, we propose a verifiable secret image sharing scheme that can not only resist dishonest participants but can also satisfy the requirements of loss less and camouflage. The new approach conceals the shadows into a pixel pair of the host...
We present a technique for fast Poisson blending and gradient domain compositing. Instead of using a single piecewise-smooth offset map to perform the blending, we associate a separate map with each input source image. Each individual offset map is itself smoothly varying and can therefore be represented using a low-dimensional spline. The resulting linear system is much smaller than either the original...
Vectorization of the lattice diagram after contour segmentation is a critical techniqure to keep tufted carpet from destortion in the process of manipulator-tufting. A new algorithm is put forward to realize the vectorization, and keep the fitting error in an allowable range. The process of curve vectorization includes several steps: Form a feature point set by extracting the Freeman chain coding...
The H.264/AVC intra-frame codec is widely used to compress image/video data for applications like Digital Still Camera (DSC), Digital Video Camera (DVC), Television Studio Broadcast, and Surveillance video. Intra-prediction is one of the top 3 compute-intensive processing functions in the H.264/AVC baseline decoder and, therefore, consumes significant number of compute cycles a processor. In this...
This paper presents a new method of video sequence segmentation. The principal aim of our approach is the detection of cuts suites in a video sequence (boundaries of transactions). The method is based on two thresholds which allow the localization of transactions suites in a video sequence.
Through researched the method of the identification and location based on machine vision, location information of mature tomatoes has been obtained, which can be used to guide the automated picking operation of ripe tomatoes. The segmentation of visual system is based on the difference between the color characteristics of ripe tomatoes and background. Through the gray-scale method, the treatment of...
This paper presents a novel approach for image completion using global optimization, which combines with patch sparsity-based priority and dynamic structural label pruning. In our approach, the completion problem is described by discrete Markov Random Field model with a well defined objective function, and can be solved by adopting belief propagation. Two important extensions are proposed in the paper:...
In this paper, we propose two fast codebook generation techniques with iterative clustering for Vector Quantization (VQ). The techniques proposed in this paper are, Ordered Pairwise Nearest Neighbor (OPNN) and Ordered Pairwise Nearest Neighbor with Multiple Merging (OPNNMM). The conventional PNN technique has been improved using the proposed techniques to reduce the time taken in searching the nearest...
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