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Generative Bayesian Image Super Resolution With Natural Image Prior
We propose a new single image super resolution (SR) algorithm via Bayesian modeling with a natural image prior modeled by a high-order Markov random field (MRF). SR is one of the long-standing andExpand
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Blind image deblurring based on sparse prior of dictionary pair
Blind image deblurring, aiming at obtaining the sharp image from blurred one, is a widely existing problem in image processing. Traditional image deblurring methods always use the deconvolutionExpand
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Clinical commissioning and use of the Novalis Tx linear accelerator for SRS and SBRT
The purpose of this study was to perform comprehensive measurements and testing of a Novalis Tx linear accelerator, and to develop technical guidelines for commissioning from the time of acceptanceExpand
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Joint Motion Deblurring with Blurred/Noisy Image Pair
Motion blurred images are widely existing when using a hand-held camera especially under the dim lighting conditions. Since edge information contained in the noisy image may be blurred by the motionExpand
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Real-Time Implementation of Multiple Sub-array Beam-Space MUSIC Based on FPGA and DSP Array
Multiple sub-array beam-space MUSIC (MSB-MUSIC) is a new beam-space high resolution DOA estimation algorithm. In order to solve the problem of huge computation load of the algorithm, a real-timeExpand
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A finite element method to correct deformable image registration errors in low-contrast regions.
Image-guided adaptive radiotherapy requires deformable image registration to map radiation dose back and forth between images. The purpose of this study is to develop a novel method to improve theExpand
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High dynamic range imaging by sparse representation
Abstract High dynamic range (HDR) imaging technology is becoming increasingly popular in various applications. A common approach to get an HDR image is the multiple exposed images fusion. However,Expand
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Characteristics of a novel treatment system for linear accelerator–based stereotactic radiosurgery
The purpose of this study is to characterize the dosimetric properties and accuracy of a novel treatment platform (Edge radiosurgery system) for localizing and treating patients with frameless,Expand
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A TCP model incorporating setup uncertainty and tumor cell density variation in microscopic extension to guide treatment planning.
PURPOSE Tumor control probability (TCP) models have been proposed to evaluate and guide treatment planning. However, they are usually based on the dose volume histograms (DVHs) of the planning targetExpand
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Generation and verification of QFix kVue Calypso‐compatible couch top model for a dedicated stereotactic linear accelerator with FFF beams
This study details the generation, verification, and implementation of a treatment planning system (TPS) couch top model for patient support system used in conjunction with a dedicated stereotacticExpand
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