Dual dictionary sparse restoration of blurred images

Liang, 冯亮 Feng; Ping, 王平 Wang; Ting-fa, 许廷发 Xu; Ming-zhu, 石明珠 Shi; Feng, 赵峰 Zhao

doi:10.3788/ope.20111908.1982

Cited by 3 publications

(1 citation statement)

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“…GPU system has many hardware-level parallel blocks. After we divide a big problem into a number of same minor problems which are not related to each other, it's suitable for these minor time-consuming problems to be computed on each block [17]. In the process of phase information extraction, the basic computing unit is a 128 * 128 pixels block.…”

Section: Introductionmentioning

confidence: 99%

The GPU-Based Parallel Implementation of Phase Information Extraction of Multi-View Images

Zhang¹,

Yan

Gong

et al. 2011

AMR

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The eccentricity coextrusion flow of polymer melt was analyzed based on finite element simulations. Such simulated results as the fields of flow velocity, pressure and shear stress were obtained. Through the analysis of the results, the mechanism of the column interface forming in the axis-symmetry coextrusion flow path was obtained. For the coextrusion flow, if the low viscosity polymer flows near the die wall, the flow would be steady. Whereas, if the polymer with low viscosity is in the core and the high viscosity polymer at the outer region, Which is disadvantage in terms of energy, and the instability flow would occur. This is also accord with the least energy consume theory.

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Section: Introductionmentioning

confidence: 99%

The GPU-Based Parallel Implementation of Phase Information Extraction of Multi-View Images

Zhang¹,

Yan

Gong

et al. 2011

AMR

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An integrated measurement method for pulp consistency and pulp flow

Zhou¹,

Tian²,

Wang³

et al. 2020

Meas. Sci. Technol.

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An integrated method is proposed to measure pulp consistency and pulp flow, which is based on the utilization of a mechanical consistency sensor. Pulp consistency is sparsely decomposed by sparse atoms with scale properties to catch flow-velocity information in order to compute flow velocity, and then the velocity is used to compensate the consistency measured value. Sparse representation is conducted on the consistency signal by sparse atoms that have scale properties and scale-free properties, respectively, to eliminate consistency noise and obtain pulp consistency with high precision. The experimental results show that the method that only employs a consistency sensor to measure pulp consistency and pulp flow simultaneously has advantages such as high precision, strong rapidity and applicability.

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Recent Development of Dual-Dictionary Learning Approach in Medical Image Analysis and Reconstruction

Wang

2015

Computational and Mathematical Methods in Medicine

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As an implementation of compressive sensing (CS), dual-dictionary learning (DDL) method provides an ideal access to restore signals of two related dictionaries and sparse representation. It has been proven that this method performs well in medical image reconstruction with highly undersampled data, especially for multimodality imaging like CT-MRI hybrid reconstruction. Because of its outstanding strength, short signal acquisition time, and low radiation dose, DDL has allured a broad interest in both academic and industrial fields. Here in this review article, we summarize DDL's development history, conclude the latest advance, and also discuss its role in the future directions and potential applications in medical imaging. Meanwhile, this paper points out that DDL is still in the initial stage, and it is necessary to make further studies to improve this method, especially in dictionary training.

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Dual dictionary sparse restoration of blurred images

Cited by 3 publications

References 0 publications

The GPU-Based Parallel Implementation of Phase Information Extraction of Multi-View Images

The GPU-Based Parallel Implementation of Phase Information Extraction of Multi-View Images

An integrated measurement method for pulp consistency and pulp flow

Recent Development of Dual-Dictionary Learning Approach in Medical Image Analysis and Reconstruction

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