With the advent of multimedia technologies in last two decades, there is a widespread need for efficient storage and transmission of data. Dealing with the vast information interchangein this digital era, image compre...
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The present paper aims to investigate the influence of image gamuts on cross-media colour image reproduction by creating a set of images that have this image characteristic perturbed in a known way. This is done using...
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The present paper aims to investigate the influence of image gamuts on cross-media colour image reproduction by creating a set of images that have this image characteristic perturbed in a known way. This is done using the following two approaches: First, by selecting a single image and obtaining variations of it which have different colour gamuts. Second, by creating a pair of image sets whereby the images in the first set differ in colour gamut and the images of the second set are transformations of the first set of images so that all the images have the same gamut. Reproducing these images using a range of gamut mapping algorithms (GMAs), it can be seen whether variations in gamut and the difference between multi- and equi-gamut sets result in difference of performance. The results of these experiments then show that image gamuts have no significant effect on colour gamut mapping.
In this paper, we propose a novel algorithm called intensity selection (IS) that can be applied to three existing halftone image data hiding algorithms DHST, DHPT and DHSPT to achieve improved visual quality. The prop...
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ISBN:
(纸本)0780366859
In this paper, we propose a novel algorithm called intensity selection (IS) that can be applied to three existing halftone image data hiding algorithms DHST, DHPT and DHSPT to achieve improved visual quality. The proposed IS algorithm generalizes the hidden data representation and select the best location out of a set of candidate locations for the application of DHST/DHPT/DHSPT. It chooses pixel locations that are either very bright or very dark. The IS requires the inverse-halftoned image which implies potentially high computation requirement. Experiments suggest that significant improvement in visual quality can be achieved.
Today, video cameras are widely used to monitor the state and level of traffic. However, while planning a system for the motorways in the Free State of Saxony (Germany), three major problems became obvious. Most comme...
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ISBN:
(纸本)9783642246593;9783642246609
Today, video cameras are widely used to monitor the state and level of traffic. However, while planning a system for the motorways in the Free State of Saxony (Germany), three major problems became obvious. Most commercial imageprocessing software depends on a particular camera model, and it must be calibrated by a professional. In addition, the diverse and sometimes severe environmental conditions are still a challenge for most algorithms. The research goal of the presented work was to resolve these problems with a novel in-house development. The methods developed for incident detection and parking space surveillance do not disclose vehicle-specific characteristics. Only stochastic and non-specific characteristics are used for imageprocessing. Significant results are a remarkable robustness against weather and lighting conditions as well as minimal requirements regarding camera height and direction. The latter leads to low procurement costs as existing infrastructure can be used for the camera installation.
Fibrous materials such as fiber-reinforced composites are finding increasing application in the automotive, aerospace, and other industries. Fiber arrangements and defects at microscopic scales have direct impact on t...
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A hybrid shared/distributed memory systolic architecture is being developed as a means to efficiently perform scientific and DSP computations using multiple VLSI floating point RISC processors. The architecture is dyn...
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A hybrid shared/distributed memory systolic architecture is being developed as a means to efficiently perform scientific and DSP computations using multiple VLSI floating point RISC processors. The architecture is dynamically configurable so that the system performs well on vector, scalar, and parallel codes. From one viewpoint, the system appears as a conventional machine capable of running UNIX and standard programs. Yet the system's memory map is augmented with smart memory segments (or PEs) that each contain 512K of 30 ns SRAM and a 40MFLOPs TMS34082 floating point RISC processor. The PEs are connected into a bidirectional ring via FIFO buffers. Communication is accelerated using special hardware that overlaps communication cycles with local bus cycles. The machine is currently implemented in software using the Rice Parallel processing Testbed (RPPT) simulation package. The paper presents the system architecture, programming models, algorithms, and performance results.
There is a growing trend in machine color constancy research to use only image chromaticity information, ignoring the magnitude of the image pixels. This is natural because the main purpose is often to estimate only t...
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ISBN:
(纸本)0892082259
There is a growing trend in machine color constancy research to use only image chromaticity information, ignoring the magnitude of the image pixels. This is natural because the main purpose is often to estimate only the chromaticity of the illuminant. However, the magnitudes of the image pixels also carry information about the chromaticity of the illuminant. One such source of information is through image specularities. As is well known in the computational color constancy field, specularities from inhomogeneous materials (such as plastics and painted surfaces) can be used for color constancy. This assumes that the image contains specularities, that they can be identified, and that they do not saturate the camera sensors. These provisos make it important that color constancy algorithms which make use of specularities also perform well when the they are absent. A further problem with using specularities is that the key assumption, namely that the specular component is the color of the illuminant, does not hold in the case of colored metals. In this paper we investigate a number of color constancy algorithms in the context of specular and nonspecular reflection. We then propose extensions to several variants of Forsyth's CRULE algorithm(1-4) which make use of specularities if they exist, but do not rely on their presence. In addition, our approach is easily extended to include colored metals, and is the first color constancy algorithm to deal with such surfaces. Finally, our method provides an estimate of the overall brightness, which chromaticity-based methods cannot do, and other RGB based algorithms do poorly when specularities are present.
image-based classification of tissue histology, in terms of different components (e.g., normal signature, categories of aberrant signatures), provides a series of indices for tumor composition. Subsequently, aggregati...
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ISBN:
(纸本)9780769549897
image-based classification of tissue histology, in terms of different components (e.g., normal signature, categories of aberrant signatures), provides a series of indices for tumor composition. Subsequently, aggregation of these indices in each whole slide image (WSI) from a large cohort can provide predictive models of clinical outcome. However, the performance of the existing techniques is hindered as a result of large technical and biological variations that are always present in a large cohort. In this paper, we propose two algorithms for classification of tissue histology based on robust representations of morphometric context, which are built upon nuclear level morphometric features at various locations and scales within the spatial pyramid matching (SPM) framework. These methods have been evaluated on two distinct datasets of different tumor types collected from The Cancer Genome Atlas (TCGA), and the experimental results indicate that our methods are (i) extensible to different tumor types;(ii) robust in the presence of wide technical and biological variations;(iii) invariant to different nuclear segmentation strategies;and (iv) scalable with varying training sample size. In addition, our experiments suggest that enforcing sparsity, during the construction of morphometric context, further improves the performance of the system.
The existing image segmentation methods are various, but due to the particularity of sonar images, the ordinary image segmentation methods often fail to achieve ideal results when processing sonar images and have limi...
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During last years, images and videos have become widely used in many daily applications. Indeed, they can come from cameras, smartphones, social networks of from medical devices. Generally, these images and videos are...
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ISBN:
(纸本)9781450352819
During last years, images and videos have become widely used in many daily applications. Indeed, they can come from cameras, smartphones, social networks of from medical devices. Generally, these images and videos are used for illustrating people or objects (cars, trains, planes, etc.) in many situations such as airports, train stations, public areas, sport events, hospitals, etc. Thus, image and video processingalgorithms have got increasing importance, they are required from various computer visions applications such as motion tracking, real time event detection, database (images and videos) indexation and medical computer aided diagnosis methods. In this paper, we propose a cloud platform that integrates the above-mentioned methods, which are generally developed with popular open source image and video processing libraries (OpenCV(1), OpenGL(2), ITK3, VTK4, etc.). Theses modules are automatically integrated and configured in the cloud application. Thus, the platform users will have access to different computer vision techniques without the need to download, install and configure the corresponding software. Each guest can select the required application, load its data and get the output results in a safe and simple way. The cloud platform can handle the variety of Operating systems and programming languages (C++, Java, Python, etc.). Experimentations were conducted within two kinds of applications. The first represents medical methods such as image segmentation in MR images, 3D image reconstruction from 2D radiographs, left ventricle segmentation and tracking from 2D echocardiography. The second kind of applications is related to video processing such as face, people and cars tracking, and abnormal event detection in crowd videos.
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