Electronic cameras and projectors are improving at a rapid pace, Computational elements are increasing in power to the point where substantial processing cart be applied to the image stream, and compression algorithms...
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Electronic cameras and projectors are improving at a rapid pace, Computational elements are increasing in power to the point where substantial processing cart be applied to the image stream, and compression algorithms have improved to the level M,here very high quality can be maintained at high compression ratios. The combination of high resolution and high frame rate can bring unprecedented image clarity to an electronic imaging system. With high-quality compression as a central system element, image capture and presentation systems can realize their full technological potential, While it is evident that uncompressed digital video at standard definition is widely available for many video system elements, it is now becoming apparent that imaging systems are poised to jump orders of magnitude in quality beyond this. HDTV implementations of the last decade now look like a small step in comparison to the leap in quality that is anticipated.
Coding systems based on block DCT, such as JPEG standard, are known to produce blocking and Gibbs effects. We propose a method to remove these artifacts without smoothing images and without loosing there perceptual fe...
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Coding systems based on block DCT, such as JPEG standard, are known to produce blocking and Gibbs effects. We propose a method to remove these artifacts without smoothing images and without loosing there perceptual features. It consists in an weighted Total Variation minimization constrained by the knowledge of quantization intervals. A fast algorithm is proposed and experiments suggest better performance than state-of-the-art deblocking algorithms.
Transform methods have played an important role in signal and imageprocessing applications. Recently, Selesnick has constructed the new orthogonal discrete wavelet transform, called the slantlet wavelet, with two zer...
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ISBN:
(纸本)0819452017
Transform methods have played an important role in signal and imageprocessing applications. Recently, Selesnick has constructed the new orthogonal discrete wavelet transform, called the slantlet wavelet, with two zero moments and with improved time localization. The discrete slantlet wavelet transform is carried out by an existing filterbank which lacks a tree structure and has a complexity problem. The slantlet wavelet has been successfully applied in compression and denoising. In this paper, we present a new class of orthogonal parametric fast Haar slantlet transform system where the slantlet wavelet and Haar transforms are special cases of it. We propose designing the slantlet wavelet transform using Haar slantlet transform matrix. A new class of parametric filterbanks is developed. The behavior of the parametric Haar slantlet transforms in signal and image denoising is presented. We show that the new technique performs better than the slantlet wavelet transform in denoising for piecewise constant signals. We also show that the parametric Haar slantlet transform performs better than the cosine and Fourier transforms for grey level images.
This Three-Volume-Set constitutes the refereed proceedings of the Second International conference on Software Engineering and Computer systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised ful...
ISBN:
(数字)9783642222030
ISBN:
(纸本)9783642222023
This Three-Volume-Set constitutes the refereed proceedings of the Second International conference on Software Engineering and Computer systems, ICSECS 2011, held in Kuantan, Malaysia, in June 2011. The 190 revised full papers presented together with invited papers in the three volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on software engineering; network; bioinformatics and e-health; biometrics technologies; Web engineering; neural network; parallel and distributed; e-learning; ontology; imageprocessing; information and data management; engineering; software security; graphics and multimedia; databases; algorithms; signal processing; software design/testing; e- technology; ad hoc networks; social networks; software process modeling; miscellaneous topics in software engineering and computer systems.
To reduce the number of traffic accidents and to increase the drivers comfort, the thought of designing driver assistance systems rose in the past years. Fully or partly autonomously guided vehicles, particularly for ...
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ISBN:
(纸本)0780362985
To reduce the number of traffic accidents and to increase the drivers comfort, the thought of designing driver assistance systems rose in the past years. Fully or partly autonomously guided vehicles, particularly for road traffic, pose high demands on the development of reliable algorithms. Principal problems are caused by having a moving observer in predominantly natural environments. At the Institut fur Neuroinformatik methods for analyzing driving relevant scenes by computer vision are developed in cooperation with several partners from the automobile industry. In this paper we present a solution for a driver assistance system. We concentrate on the aspects of video-based scene analysis and organization of behavior.
Research and industry increasingly rely on imageprocessing to analyze an environment. Most imageprocessing requires significant computing power and consequently a complex processing unit. This paper presents a hardw...
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ISBN:
(纸本)9781479947744
Research and industry increasingly rely on imageprocessing to analyze an environment. Most imageprocessing requires significant computing power and consequently a complex processing unit. This paper presents a hardware specific platform that computes common imageprocessingalgorithms and extracts the information from a video stream. By this arrangement, the imageprocessing can be customized for a specific application, using the same embedded system. This platform also simplifies the development of imageprocessingsystems and algorithms by focusing on higher level algorithmic operations.
imageprocessing could be done in CPU or in Graphical processing Unit (GPU), using sequential programming or parallel programming respectively. Sequential and parallel programming are good in their own paradigm. This ...
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ISBN:
(纸本)9781509047154
imageprocessing could be done in CPU or in Graphical processing Unit (GPU), using sequential programming or parallel programming respectively. Sequential and parallel programming are good in their own paradigm. This paper analyses the performances of various basic imageprocessingalgorithms on GPU as well as CPU. Various images with a range of dimensions have been used for the testing purpose. The results show that the usability of the GPU for imageprocessing problems is highly depends on the nature of the problem and also on the size of the problem domain.
Hilditch thinning algorithm is widely used in image pre-processing process. In this paper, we propose an improved Hilditch algorithm to acquire a more stable output. We conclude that the skeletons obtained from our al...
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ISBN:
(纸本)9780769539072
Hilditch thinning algorithm is widely used in image pre-processing process. In this paper, we propose an improved Hilditch algorithm to acquire a more stable output. We conclude that the skeletons obtained from our algorithms give better results in Chinese characters and numbers. The advantage of this algorithm corrects the beard by modifying the warp in the part of intersection.
We present a collection of methods and algorithms able to deal with high dynamic ranges of real pictures acquired by digital engines e.g., charge-coupled device (CCD/CMOS) cameras. An accurate image acquisition can be...
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We present a collection of methods and algorithms able to deal with high dynamic ranges of real pictures acquired by digital engines e.g., charge-coupled device (CCD/CMOS) cameras. An accurate image acquisition can be challenging under difficult light conditions. A few techniques that overcome dynamic range limitations problems are reported. The presented methods allow the recovery of the original radiance values of the final 8-bit-depth image starting from differently exposed pictures. This allows the capture of both low- and high-light details by merging the various pictures into a single map, thus providing a more faithful description of what the real world scene was. However, in order to be viewed on a common computer monitor, the map needs to be compressed and requantized while preserving the visibility of details. The main problem comes from the fact that the contrast of the radiance values is usually far greater than that of the display device. Various related techniques are reviewed and discussed. (C) 2003 SPIE and IST.
The computational and communication requirements of a wide range of imageprocessingalgorithms were analysed and used to specify the design of a general purpose imageprocessing device. The algorithms considered are ...
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