Estimating blur kernels from real world images is a challenging problem as the linear image formation assumption does not hold when significant outliers, such as saturated pixels and non-Gaussian noise, are present. W...
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ISBN:
(纸本)9781467388511
Estimating blur kernels from real world images is a challenging problem as the linear image formation assumption does not hold when significant outliers, such as saturated pixels and non-Gaussian noise, are present. While some existing non-blind deblurring algorithms can deal with outliers to a certain extent, few blind deblurring methods are developed to well estimate the blur kernels from the blurred images with outliers. In this paper, we present an algorithm to address this problem by exploiting reliable edges and removing outliers in the intermediate latent images, thereby estimating blur kernels robustly. We analyze the effects of outliers on kernel estimation and show that most state-of-the-art blind deblurring methods may recover delta kernels when blurred images contain significant outliers. We propose a robust energy function which describes the properties of outliers for the final latent image restoration. Furthermore, we show that the proposed algorithm can be applied to improve existing methods to deblur images with outliers. Extensive experiments on different kinds of challenging blurry images with significant amount of outliers demonstrate the proposed algorithm performs favorably against the state-of-the-art methods.
Blockchain systems promise to fundamentally transform the way users interact with systems of governance, finance, and administration. Since relevant changes are expected to appear on a global scale, considerable metho...
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A physics-based equivalent-circuit model for on-chip symmetric transformers is presented with all the model elements driven from fabrication specifications. Two extra coupled transformer loops are used for each coil t...
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A physics-based equivalent-circuit model for on-chip symmetric transformers is presented with all the model elements driven from fabrication specifications. Two extra coupled transformer loops are used for each coil to model the parameters of skin effect, proximity effect, and reflective effect of the substrate eddy current, respectively. Model accuracy under free space is first demonstrated using an electromagnetic field solver without considering substrate loss. Several sets of transformers were fabricated on a standard 0.18-mu m 1P8M RF CMOS technology to further verify the accuracy and scalability of the proposed model. By careful comparison of S-parameters, coil inductance, quality factor, coupling coefficient, and maximum available gain between measured data and simulated data, model accuracy, and scalability are verifed over a wide range of geometry configurations.
The thermal behaviour of the (110) surface of aluminum is investigated by low-energy ion scattering along the and azimuthal directions in the temperature range between 300 and 910 K. Surface channeling mode and neut...
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The thermal behaviour of the (110) surface of aluminum is investigated by low-energy ion scattering along the <1 (1) over bar0> and <001> azimuthal directions in the temperature range between 300 and 910 K. Surface channeling mode and neutral impact collision ion scattering spectroscopy are used. Surface melting is observed and information on the evolution of the surface structure is gained with the help of simulations performed with the MARLOWE code. Experimental evidence for residual short range order is obtained along both azimuths within the quasi-liquid layer which probably consists of groups of surface atoms in correlated motion. (C) 2003 Elsevier Science B.V. All rights reserved.
Due to its low cost and availability, magnetic sensors nowadays are often incorporated into security systems to detect or localize threats. This paper, with the help of a correlated pre-published work, describes preli...
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ISBN:
(纸本)9781538605240
Due to its low cost and availability, magnetic sensors nowadays are often incorporated into security systems to detect or localize threats. This paper, with the help of a correlated pre-published work, describes preliminary steps to ensure reliable results that could help in reducing inaccuracies/errors in case of considering a security system that detects Magnetic IEDs employing AMR-based magnetic field sensors.
An exciting new future of large-scale carbon dioxide enhanced oil recovery awaits Alberta's depleted oil fields. This paper presents the potential and how the necessary infrastructure could be developed. Such an i...
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ISBN:
(纸本)9781613991046
An exciting new future of large-scale carbon dioxide enhanced oil recovery awaits Alberta's depleted oil fields. This paper presents the potential and how the necessary infrastructure could be developed. Such an infrastructure currently exists in the Permian Basin of West Texas and Southeast New Mexico, where over 28.17 10(6)m(3)/day of carbon dioxide is injected for enhanced oil recovery. A number of factors have come, or are ar coming, together to form the environment where a comparable infrastructure may be possible in Alberta. A scoping evaluation of carbon dioxide sources and locations, reservoir locations, potential oil recovery, and capital costs to develop the infrastructure is carried out. The factors leading to a large-scale carbon dioxide industry are compared to the factors in place during the 1970s and 1980s, when most of the hydrocarbon miscible floods were initiated in Alberta. Finally, conclusions are drawn regarding the viability of the infrastructure proposed in this paper.
With the advent of deep sub-micron technologies, interconnect loads and delays have become significant, and layout-driven synthesis has become the need of the day. However, due to the tight layout constraints (e.g., a...
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With the advent of deep sub-micron technologies, interconnect loads and delays have become significant, and layout-driven synthesis has become the need of the day. However, due to the tight layout constraints (e.g., area availability, congestion), only layout-friendly logic transforms such as net buffering and gate resizing can be used effectively. In this paper, we address the problem of minimizing the delay of a mapped, roughly-placed and globally-routed design by buffer insertion and/or deletion without violating the local area constraints imposed by the layout. To the best of our knowledge, only one earlier work has addressed this problem (Murgai, 2000). Although the algorithm presented by Murgai (2000) is optimum for a single net, it has worst-case exponential run-time and is not suitable for large nets. In this paper, we present techniques to make this algorithm practical by improving the run-time without sacrificing the quality. We present a condition called ONPRB, which, if satisfied by the net, improves the worst case runtime complexity to quadratic, without causing a loss in optimality. A study of industrial designs showed that up to 80% of the critical nets satisfied the ONPRB condition. To further reduce the run-time, we propose a technique to convert a net into one that satisfies this condition. Experiments on industrial designs show that the proposed scheme gives up to 12.5 times speed-up over (Murgai, 2000), without sacrificing the design quality (i.e., final delay and area).
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