Search Results - "ARCE, Gonzalo R"

Fast inverse lithography based on dual-channel model-driven deep learning by Ma, Xu, Zheng, Xianqiang, Arce, Gonzalo R.

“…Inverse lithography technology (ILT) is extensively used to compensate image distortion in optical lithography systems by pre-warping the photomask at the…”
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A Multigraph-Defined Distribution Function in a Simulation Model of a Communication Network by Miletic, Slobodan, Pokrajac, Ivan, Pena-Pena, Karelia, Arce, Gonzalo R., Mladenovic, Vladimir

“…We presented a method based on multigraphs to mathematically define a distribution function in time for the generation of data exchange in a special-purpose…”
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Compressive Sensing Signal Reconstruction by Weighted Median Regression Estimates by Paredes, J L, Arce, G R

“…In this paper, we propose a simple and robust algorithm for compressive sensing (CS) signal reconstruction based on the weighted median (WM) operator. The…”
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Parallel Graph Signal Processing: Sampling and Reconstruction by Dapena, Daniela, Lau, Daniel L., Arce, Gonzalo R.

“…Graph signal processing (GSP) extends classical signal processing methods to analyzing signals supported over irregular grids represented by graphs. Within the…”
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Experimental demonstration of an optical-sectioning compressive sensing microscope (CSM) by Wu, Yuehao, Ye, Peng, Mirza, Iftekhar O, Arce, Gonzalo R, Prather, Dennis W

“…In this paper we present the design and implementation of a Compressive Sensing Microscopy (CSM) imaging system, which uses the Compressive Sensing (CS) method…”
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Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination by Ma, Xu, Wang, Dong, Cuadros, Angela, Mao, Tianyi, Zhao, Qile, Arce, Gonzalo R., Xu, Tingfa

“…Compressive X-ray tomosynthesis is a computational imaging technique used to reconstruct three-dimensional objects from a set of projection measurements, where…”
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Colored Coded Aperture Design by Concentration of Measure in Compressive Spectral Imaging by Arguello, Henry, Arce, Gonzalo R.

“…Compressive spectral imaging (CSI) senses the spatio-spectral information of a scene by measuring 2D coded projections on a focal plane array. A ℓ 1…”
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Compressive Spectral X-Ray CT Reconstruction via Deep Learning by Zhang, Tong, Zhao, Shengjie, Ma, Xu, Restrepo, Carlos M., Arce, Gonzalo R.

“…Compressive spectral X-ray imaging (CSXI) uses coded illumination projections to reconstruct tomographic images at multiple energy bins. Different K-edge…”
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LED-based compressive spectral-temporal imaging by Ma, Xiao, Yuan, Xin, Fu, Chen, Arce, Gonzalo R

“…A compressive spectral-temporal imaging system is reported. A multi-spectral light-emitting diode array is used for target illumination and spectral…”
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Channeled compressive imaging spectropolarimeter by Ren, Wenyi, Fu, Chen, Wu, Dan, Xie, Yingge, Arce, Gonzalo R

“…A compressive imaging spectropolarimeter is proposed in this paper, capable of simultaneously acquiring full polarization, spatial and spectral information of…”
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Multi-spectral compressive snapshot imaging using RGB image sensors by Rueda, Hoover, Lau, Daniel, Arce, Gonzalo R

“…Compressive sensing is a powerful sensing and reconstruction framework for recovering high dimensional signals with only a handful of observations and for…”
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Compressive spectral X-ray tomography based on spatial and spectral coded illumination by Cuadros, Angela, Ma, Xu, Arce, Gonzalo R

“…Spectral computed tomography (CT) relies on the spectral dependence of X-ray attenuation coefficients to separate projection measurements into more than two…”
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Compressive spectral imaging system based on liquid crystal tunable filter by Wang, Xi, Zhang, Yuhan, Ma, Xu, Xu, Tingfa, Arce, Gonzalo R

“…Liquid crystal tunable filters (LCTF) are extensively used in hyperspectral imaging systems to successively acquire different spectral components of scenes by…”
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T-HyperGNNs: Hypergraph Neural Networks via Tensor Representations by Wang, Fuli, Pena-Pena, Karelia, Qian, Wei, Arce, Gonzalo R.

“…Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or…”
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Coded aperture optimization in compressive X-ray tomography: a gradient descent approach by Cuadros, Angela P, Arce, Gonzalo R

“…Coded aperture X-ray computed tomography (CT) has the potential to revolutionize X-ray tomography systems in medical imaging and air and rail transit security…”
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Hyperspectral image reconstruction via patch attention driven network by Qiu, Yechuan, Zhao, Shengjie, Ma, Xu, Zhang, Tong, Arce, Gonzalo R

“…Coded aperture snapshot spectral imaging (CASSI) captures 3D hyperspectral images (HSIs) with 2D compressive measurements. The recovery of HSIs from these…”
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Compressive hyperspectral image classification using a 3D coded convolutional neural network by Zhang, Hao, Ma, Xu, Zhao, Xianhong, Arce, Gonzalo R.

“…Hyperspectral image classification (HIC) is an active research topic in remote sensing. Hyperspectral images typically generate large data cubes posing big…”
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Model-driven convolution neural network for inverse lithography by Ma, Xu, Zhao, Qile, Zhang, Hao, Wang, Zhiqiang, Arce, Gonzalo R

“…Optical lithography is a fundamental process to fabricate integrated circuits, which are the basic fabric of the information age. Due to image distortions…”
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Rank Minimization Code Aperture Design for Spectrally Selective Compressive Imaging by Arguello, H., Arce, G. R.

“…A new code aperture design framework for multiframe code aperture snapshot spectral imaging (CASSI) system is presented. It aims at the optimization of code…”
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Lithographic source optimization based on adaptive projection compressive sensing by Ma, Xu, Shi, Dongxiang, Wang, Zhiqiang, Li, Yanqiu, Arce, Gonzalo R

“…This paper proposes to use the a-priori knowledge of the target layout patterns to design data-adaptive compressive sensing (CS) methods for efficient source…”
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