NASA Technical Reports Server (Ntrs) 19940017241: Reduction of Blocking Effects for the Jpeg Baseline image Compression Standard by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19940017241: Reduction of Blocking Effects for the Jpeg Baseline image Compression Standard by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
Several major advances in Cell and Molecular Biology have been made possible by recent advances in livecell microscopy imaging. To support these efforts, automated image analysis methods such as cell segmentation and ...
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NASA Technical Reports Server (Ntrs) 19870017112: Synthetic Aperture Radar Signal processing on the Mpp by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19870017112: Synthetic Aperture Radar Signal processing on the Mpp by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
An improved method for visibility enhancement of foggy based degraded images is presented. Proposed technique consists of two phases: firstly applied the visibility enhancement algorithm and then automatic color enhan...
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ISBN:
(纸本)9781509021185
An improved method for visibility enhancement of foggy based degraded images is presented. Proposed technique consists of two phases: firstly applied the visibility enhancement algorithm and then automatic color enhancement algorithm. Quantitative metric and qualitative result of proposed technique is evaluated and compared with other existing visibility restoration algorithms. In this paper quantitative results are presented in terms of measure of enhancement and measure of enhancement factor. Simulation results on foggy images from database demonstrates that proposed technique provides better visibility enhancement results as compared to the others existing visibility enhancement algorithms. A result reveals that proposed technique is an efficient method for visibility enhancement of foggy based degraded images.
With the massive multi-input multi-output (MIMO) antennas technology adopted for the fifth generation (5G) wireless communication systems, a large number of radio frequency (RF) chains have to be employed for RF circu...
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With the massive multi-input multi-output (MIMO) antennas technology adopted for the fifth generation (5G) wireless communication systems, a large number of radio frequency (RF) chains have to be employed for RF circuits. However, a large number of RF chains not only increase the cost of RF circuits but also consume additional energy in 5G wireless communication systems. In this paper, we investigate energy and cost efficiency optimization solutions for 5G wireless communication systems with a large number of antennas and RF chains. An energy efficiency optimization problem is formulated for 5G wireless communication systems using massive MIMO antennas and millimeter wave technology. Considering the nonconcave feature of the objective function, a suboptimal iterative algorithm, i.e., the energy efficient hybrid precoding (EEHP) algorithm is developed for maximizing the energy efficiency of 5G wireless communication systems. To reduce the cost of RF circuits, the energy efficient hybrid precoding with the minimum number of RF chains (EEHP-MRFC) algorithm is also proposed. Moreover, the critical number of antennas searching (CNAS) and user equipment number optimization (UENO) algorithms are further developed to optimize the energy efficiency of 5G wireless communication systems by the number of transmit antennas and UEs. Compared with the maximum energy efficiency of conventional zero-forcing (ZF) precoding algorithm, numerical results indicate that the maximum energy efficiency of the proposed EEHP and EEHP-MRFC algorithms are improved by 220% and 171%, respectively.
NASA Technical Reports Server (Ntrs) 19890012961: Proceedings of the Scientific Data Compression Workshop by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19890012961: Proceedings of the Scientific Data Compression Workshop by NASA Technical Reports Server (Ntrs); published by
AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detec...
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ISBN:
(纸本)9781509037629
AprilTags and other passive fiducial markers require specialized algorithms to detect markers among other features in a natural scene. The vision processing steps generally dominate the computation time of a tag detection pipeline, so even small improvements in marker detection can translate to a faster tag detection system. We incorporated lessons learned from implementing and supporting the AprilTag system into this improved system. This work describes AprilTag 2, a completely redesigned tag detector that improves robustness and efficiency compared to the original AprilTag system. The tag coding scheme is unchanged, retaining the same robustness to false positives inherent to the coding system. The new detector improves performance with higher detection rates, fewer false positives, and lower computational time. Improved performance on small images allows the use of decimated input images, resulting in dramatic gains in detection speed.
Feature selection, as a preprocessing step to machine learning, plays a pivotal role in removing irrelevant data, reducing dimensionality and improving performance evaluations. Recent years, sparse representation has ...
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Even today, dealing with motion artifacts in magnetic resonance imaging (MRI) is a challenging task. image corruption due to spontaneous body motion complicates diagnosis. In this work, an MRI phantom for rigid motion...
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Vehicle detection has been applied in many fields,such as intelligent transportation,video surveillance,driving assistance system and so *** the case of fine weather,the state-of-the-art vehicle-detection systems may ...
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ISBN:
(纸本)9781509001668
Vehicle detection has been applied in many fields,such as intelligent transportation,video surveillance,driving assistance system and so *** the case of fine weather,the state-of-the-art vehicle-detection systems may achieve good ***,the performance has a substantial decline in bad weathers,such as fog,night and so ***,improving the performance of vehicle-detection systems in different weather conditions becomes an important issue in vehicle-detection *** the fog or night,the quality of the images is *** this paper,we propose some algorithms of image defogging and color enhancement in order to improve the performance of vehicle *** result of vehicle detection get much better after imageprocessing in bad weathers.
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