image gradient, as a preprocessing step is an essential tool in imageprocessing in many research areas such as edge detection, segmentation, smoothing, inpainting, etc. In the present paper, we develop a new gradient...
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Dynamic Metasurface Antennas (DMAs) have been recently proposed as a computational imaging platform that relaxes the hardware constraints. these antennas produce tailored radiation patterns to multiplex the spatial in...
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ISBN:
(纸本)9788831299077
Dynamic Metasurface Antennas (DMAs) have been recently proposed as a computational imaging platform that relaxes the hardware constraints. these antennas produce tailored radiation patterns to multiplex the spatial information from the scene compressing the measurements into a single channel. Despite simplifying the hardware layer, the compression of the signal sets challenges in image reconstruction. the indirect sampling of the imaged scene makes it necessary to use computationally intense sensing-matrix based solutions since Fourier-based image reconstruction techniques are not directly applicable. In this paper, a bistatic case using DMAs as transmit and receive apertures is discussed and a pre-processing step is proposed to render the measurement set compatible with conventional Fourier-based imaging algorithms. the performance of the reconstruction algorithm including the pre-processing step is demonstrated when the algorithm is parallelized using a single Graphical processing Unit (GPU) card arguing that real-time image reconstruction is possible when imaging with DMAs.
Clustering is the unsupervised classification of data items into homogeneous groups called clusters. Clustering algorithms are computationally intensive, particularly when they are used to analyze large amounts of dat...
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ISBN:
(纸本)0769521282
Clustering is the unsupervised classification of data items into homogeneous groups called clusters. Clustering algorithms are computationally intensive, particularly when they are used to analyze large amounts of data and this is the case in many pattern recognition, image analysis applications. A possible approach to reduce the processing time is based on the implementation of clustering algorithms on scalable parallel computers. this paper describes the design and implementation of P-AFLC, a parallel version of the Adaptive Fuzzy Leader Clustering system based upon the competitive learning model for determining optimal classes in large data sets. the system architecture, its implementation, and experimental performance results are reported, together withtheoretical performance evaluation.
image inpainting is a prolific line of research due to its applications in restoration of missing or damaged areas of the image. In this paper, a novel iterative algorithm for image inpainting based on aggregation fun...
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ISBN:
(纸本)9781509049172
image inpainting is a prolific line of research due to its applications in restoration of missing or damaged areas of the image. In this paper, a novel iterative algorithm for image inpainting based on aggregation functions and penalty-based functions is presented. the algorithm combines diffusion-based and patch-based techniques. In each iteration of the algorithm, the level of consensus among the known pixels in a neighbourhood of each pixel is computed. If a minimum value of consensus is reached, the pixel is recovered by means of an aggregation of the known pixels of the neighbourhood through aggregation functions and penalty-based functions. Otherwise, a non-local search of similar patches is performed and then a similar aggregation but now of the centre pixels of those patches more similar to the region we must recover is carried out. Experiments on synthetic and natural images show the potential of this algorithm both from the qualitative and the quantitative points of view in comparison to other classical inpainting algorithms.
MultiRing is a network of 2nnodes which can be configured into different ring networks of n different configurations. It supports a wide variety of algorithms, such as algorithms for parallel imageprocessing. In this...
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In a typical manufacturing setup, field sensors are used to detect the presence of moving material on the production line. Sensory information is interfaced with a centralized control systems for continuous and long d...
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ISBN:
(纸本)9781728129273
In a typical manufacturing setup, field sensors are used to detect the presence of moving material on the production line. Sensory information is interfaced with a centralized control systems for continuous and long distance monitoring. However, the field sensors are prone to failures and may cause frequent down-times which in turn causes reduction in productivity. In this paper, a practical and comprehensive visual inspection system is proposed to automatically control the plant operations. the proposed approach improves productivity and solves several challenges including the speed of execution to support real-time operations, number and choice of imageprocessing stages as well as associated techniques and algorithms. the presented solution inspects a production process deployed in metal industry and detects the moving rods on a conveyor platform. the shape of the moving rods is characterized using a combination of GrabCut segmentation, and clustering-based imagethresholding methods. To detect and track the movement of rods, proximity contours are identified using low-level pixel information of only two images: one when the conveyor is fully occupied withthe rods and the other when the conveyor is empty. Further, this visual sensory information is used to automatically generate control logic for tracking and monitoring a conveyor platform and can be smoothly integrated with industrial control system enabling real-time closed loop operations.
In this paper, an efficient blind signal processing algorithm called relative-gradient bound component analysis algorithm that combines the concepts of the relative-gradient approach and the bound-component analysis i...
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ISBN:
(纸本)9781728183312
In this paper, an efficient blind signal processing algorithm called relative-gradient bound component analysis algorithm that combines the concepts of the relative-gradient approach and the bound-component analysis is applied to the image watermarking systems. Unlike to the other blind-signal-processingalgorithms, neither the inverse matrix nor the covariance matrix is necessary to be computed in this one. It can successfully extract the embedded watermark without the whittling process. the time complexity and the space complexity of this algorithm are both lower than those of the original bound component analysis algorithm.
Nowadays, intelligent mobile devices become most wide mobile multimedia terminals. But limited by performance and battery life, traditional audio architectures and algorithms cannot meet increasingly complex processin...
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We consider hyperspectral phase/amplitude imaging from hyperspectral complex-valued noisy observations. Block-matching and grouping of similar patches are main instruments of the proposed algorithms. the search neighb...
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this paper presents a new combined local and global transform domain-based feedback image enhancement algorithm for medical diagnosis, treatment, and clinical research. the basic idea in using local alfa-rooting metho...
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