An algorithm for removing impulse noise is proposed. The algorithm not only uses the information of neighboring pixels in a local region, but also uses the long-range correlation within a natural image. In the propose...
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An algorithm for removing impulse noise is proposed. The algorithm not only uses the information of neighboring pixels in a local region, but also uses the long-range correlation within a natural image. In the proposed algorithm, a search criterion based on the weighted transformed contents of regions is used to look for a region which is highly correlated to the region of interest and then the center of that region is selected to replace the corrupted pixel. The method is found to be very effective in removing impulse noise from corrupted images, both in terms of the objective distortion measure and subjective visual assessment.
This paper presents a vision related technique for a manipulator real-time visual servoing to catch fish and intelligent observation of the fish trying to escape from the net attached at the robot hand. The visual rec...
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This paper presents a vision related technique for a manipulator real-time visual servoing to catch fish and intelligent observation of the fish trying to escape from the net attached at the robot hand. The visual recognition method utilizes both the global and local search features of genetic algorithm (GA) and the unprocessed gray-scale image (or raw-image) in order to perform recognition of a known target object being imaged. Also, in GA process, the computation of the fitness function is based on the configuration of an object model designated as surface-strips model. The raw-image is used since it is more tolerant to contrast variations from an input image to the next one, and does not require any filtering processing time, which is useful for real-time recognition. The global GA is utilized together with the local GA in order to recognize the target shape and detect the position and orientation simultaneously, and to increase the GA's convergence speed so as to provide faster and better recognition results. Experiments to track a fish by hand-eye camera and catch it with a net attached to the hand of the manipulator were carried out. The effectiveness of the proposed technique is demonstrated.
In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color similarity, the inclusion and the spa...
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Real-time video transmission over the Internet is becoming increasingly desirable for videoconferencing and other interactive applications. The reliable transport protocols used by the Internet were designed mainly fo...
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Real-time video transmission over the Internet is becoming increasingly desirable for videoconferencing and other interactive applications. The reliable transport protocols used by the Internet were designed mainly for non-real time data, and cannot be used for delay critical applications, which must therefore be able to cope with packet loss. Motion compensated video coding is especially sensitive to loss because of temporal error propagation. In this paper, the effect of packet loss on H.263+ video transmitted using the real-time transport protocol (RIP) is assessed. Various algorithms are described to minimise or prevent temporal error propagation. These algorithms do not rely on retransmissions and do not introduce more than one frame delay, and are therefore suitable for real-time and multicast applications. It is shown that the robustness of H.263+ video can be greatly improved using these techniques. Such techniques can also be applied to other motion compensated video coding standards such as MPEG-4 and H.26L.
作者:
Mignotte, MaxDIRO
Département d'Informatique et de Recherche Opérationnelle Succ. Centre-Ville Montréal Que. H3C 3J7
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale non-parametric model recently proposed ...
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We investigate different allocation problems in mobile ad hoc networks. The objective is to minimize the power consumption and end-to-end distortion when transmitting images. Therefore, we use progressive image coding...
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We investigate different allocation problems in mobile ad hoc networks. The objective is to minimize the power consumption and end-to-end distortion when transmitting images. Therefore, we use progressive image coding in combination with unequal erasure protection. We investigate two different scenarios, independent packet loss events and path loss events. For both cases, the expected distortion for progressive image transmission without error protection as well as for unequal erasure protection has been derived. Also, the expected power consumption for a certain path allocation pattern is obtained. The construction of operational distortion-power curves is presented by optimizing the unequal error protection and extracting the convex hull of all possible path allocation patterns. The profit of applying UEP to the progressively coded image bitstream in a multipath environment is shown. The presented error protection and rate allocation can be used as a framework for studying the allocation problem concerning the tradeoff between power and distortion for progressive image transmission in different multipath environments.
The tomographic process is quite a novel tool for the 3D image reconstruction. In a reconstruction process, a sequence of photographic images is first captured around an object of interest. Filtered backprojection is ...
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The tomographic process is quite a novel tool for the 3D image reconstruction. In a reconstruction process, a sequence of photographic images is first captured around an object of interest. Filtered backprojection is repeatedly performed on each row in the digitized images, yielding a stack of cross-sectional images. For better visualization, a surface-rendering technique and a lighting model are implemented on the voxels of the cross-sectional images to obtain a 3D shape that resembles the original object. This method has advantages over conventional 3D image reconstruction methods in that it never has to solve a complicated correspondence problem, and only simple equipment is required for gathering data from the object. Various objects have been tested. The only unresolved problem is that the method fails to reconstruct highly concave-shaped objects. We also include a solution for a ring-like shape of the cross-sectional images problem.
In addition to the high performance requirements inherent to multimedia processings or to W -CDMA, future generation mobile telecommunications bring new constraints to the semiconductor design world. In fact, the trad...
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In addition to the high performance requirements inherent to multimedia processings or to W -CDMA, future generation mobile telecommunications bring new constraints to the semiconductor design world. In fact, the traditional solutions based on the use of hardware devices (ASIC) or software ones (DSP) are unable to associate the flexibility and the high level of performance to the low energy consumption required by this application domain. In this paper, we study the efficiency of an architecture based on the use of the functional reconfiguration for such systems. Thanks to the implementation of key applications of UMTS, we will show that reconfigurable architectures can offer new compromises to associate high performances and low energy consumption in a flexible architecture and so, can be the solution to the set of problems associated with the future generation mobiles telecommunications systems.
In this paper, we are interested in designing lossless coders for a class of multispectral images. More precisely, we consider quincunx sampled images such as those encountered in new generation satellite imaging syst...
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In this paper, we are interested in designing lossless coders for a class of multispectral images. More precisely, we consider quincunx sampled images such as those encountered in new generation satellite imaging systems. Our approach exploits both the spatial and the spectral correlations existing in these images by applying block-adaptive predictors. A clustering algorithm is applied to the spectral bands of the original image in order to compute optimal predictors within each group of blocks. Simulation tests carried out on natural multicomponent images show that the proposed adaptive interband differential prediction outperforms state-of-art lossless coders.
The purpose of this paper is to introduce a fast automated white-noise estimation method which gives reliable estimates in images with smooth and textured areas. This method is a block-based method that takes the imag...
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The purpose of this paper is to introduce a fast automated white-noise estimation method which gives reliable estimates in images with smooth and textured areas. This method is a block-based method that takes the image structure into account and uses a measure other than the variance to determine if a block is homogeneous. It uses no thresholds and automates the way that block-based methods stop the averaging of block variances. The proposed method selects intensity-homogeneous blocks in an image by rejecting blocks of structure using a new structure analyzer. The analyzer used is based on high-pass operators and special masks for comers to allow implicit detection of structure and to stabilize the homogeneity estimation. For a typical image quality (PSNR of 20-40 dB) the proposed method outperforms other methods significantly and the worst-case estimation error is 3 dB which is suitable for real applications such as video surveillance or broadcasts. The method performs well even in images with few smooth areas and in highly noisy images.
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