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1. 发明申请

US20200234406A1 LAPRAN: A SCALABLE LAPLACIAN PYRAMID RECONSTRUCTIVE ADVERSARIAL NETWORK FOR FLEXIBLE COMPRESSIVE SENSING RECONSTRUCTION 审中-公开
公开(公告)号：US20200234406A1
公开(公告)日：2020-07-23
申请号：US16745817
申请日：2020-01-17
申请人： Fengbo Ren , Kai Xu , Zhikang Zhang
发明人： Fengbo Ren , Kai Xu , Zhikang Zhang
IPC分类号： G06T3/40 , G06T5/50 , G06N3/08 , G06N3/04 , G06N20/20
摘要： This disclosure addresses the single-image compressive sensing (CS) and reconstruction problem. A scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) facilitates high-fidelity, flexible and fast CS image reconstruction. LAPRAN progressively reconstructs an image following the concept of the Laplacian pyramid through multiple stages of reconstructive adversarial networks (RANs). At each pyramid level, CS measurements are fused with a contextual latent vector to generate a high-frequency image residual. Consequently, LAPRAN can produce hierarchies of reconstructed images and each with an incremental resolution and improved quality. The scalable pyramid structure of LAPRAN enables high-fidelity CS reconstruction with a flexible resolution that is adaptive to a wide range of compression ratios (CRs), which is infeasible with existing methods.

2. 发明申请

US20210305999A1 GENERIC COMPRESSION RATIO ADAPTER FOR END-TO-END DATA-DRIVEN COMPRESSIVE SENSING RECONSTRUCTION FRAMEWORKS 有权
公开(公告)号：US20210305999A1
公开(公告)日：2021-09-30
申请号：US17218738
申请日：2021-03-31
申请人： Zhikang Zhang , Fengbo Ren , Kai Xu
发明人： Zhikang Zhang , Fengbo Ren , Kai Xu
IPC分类号： H03M7/30 , G06N3/08 , G06N3/04
摘要： A compression ratio (CR) adapter (CRA) for end-to-end data-driven compressive sensing (CS) reconstruction (EDCSR) frameworks is provided. EDCSR frameworks achieve state-of-the-art reconstruction performance in terms of reconstruction speed and accuracy for images and other signals. However, existing EDCSR frameworks cannot adapt to a variable CR. For applications that desire a variable CR, existing EDCSR frameworks must be trained from scratch at each CR, which is computationally costly and time-consuming. Embodiments described herein present a CRA framework that addresses the variable CR problem generally for existing and future EDCSR frameworks with no modification to given reconstruction models nor enormous additional rounds of training needed. The CRA exploits an initial reconstruction network to generate an initial estimate of reconstruction results based on a small portion of acquired image measurements. Subsequently, the CRA approximates full measurements for the main reconstruction network by complementing the sensed measurements with a re-sensed initial estimate.

3. 发明申请

US20210349945A1 SELECTIVE SENSING: A DATA-DRIVEN NONUNIFORM SUBSAMPLING APPROACH FOR COMPUTATION-FREE ON-SENSOR DATA DIMENSIONALITY REDUCTION 有权
公开(公告)号：US20210349945A1
公开(公告)日：2021-11-11
申请号：US17317372
申请日：2021-05-11
申请人： Zhikang Zhang , Fengbo Ren
发明人： Zhikang Zhang , Fengbo Ren
IPC分类号： G06F16/901 , G06N3/08 , G06N3/04 , G06K9/62
摘要： A data-driven nonuniform subsampling approach for computation-free on-sensor data dimensionality is provided, referred to herein as selective sensing. Designing an on-sensor data dimensionality reduction scheme for efficient signal sensing has long been a challenging task. Compressive sensing is a generic solution for sensing signals in a compressed format. Although compressive sensing can be directly implemented in the analog domain for specific types of signals, many application scenarios require implementation of data compression in the digital domain. However, the computational complexity involved in digital-domain compressive sensing limits its practical application, especially in resource-constrained sensor devices or high-data-rate sensor devices. Embodiments described herein provide a selective sensing framework that adopts a novel concept of data-driven nonuniform subsampling to reduce the dimensionality of acquired signals while retaining the information of interest in a computation-free fashion.

4. 发明授权

US07098409B2 Apparatus for weighing materials online 失效
标题翻译：在线称重材料的设备
公开(公告)号：US07098409B2
公开(公告)日：2006-08-29
申请号：US10524901
申请日：2003-08-14
申请人： Manchun Liang , Zhikang Zhang , Hongchang Yi , Qian Lin , Yonggeng Qian
发明人： Manchun Liang , Zhikang Zhang , Hongchang Yi , Qian Lin , Yonggeng Qian
IPC分类号： G01G9/00 , G01B11/24
CPC分类号： G01G9/00 , G01G11/14
摘要： An apparatus for weighing materials online is disclosed, which belongs to an art of online weighing of material. The apparatus comprises: a light-emitting unit, emitting light beams irradiating on the surface of materials transported on a belt to form a bright projection which has the same shape as that of a upper contour of a cross-section of the material; and a CCD camera for continuously picking up images of the bright projection on the upper contour of the cross-section of the material; and an image capture unit, connected to the CCD camera for continuously capturing the images; and a central processing unit, connected to the image capture unit for processing the images captured by the image capture unit to compute a weight of the material. The present invention has many advantages, such as, high precision, good reliability and stability, which applies to the belt without a constant speed and a condition that a bulk shape and the bulk density of the material change largely. And the radiation safety of the present invention is good.
摘要翻译：公开了一种在线称重材料的设备，属于在线称重材料的技术。该装置包括：发光单元，发射照射在传送在带上的材料的表面上的光束，以形成具有与材料的横截面的上轮廓相同形状的明亮突起; 以及用于连续地拾取材料横截面的上轮廓上的明亮突起的图像的CCD照相机; 以及图像捕获单元，连接到CCD照相机，用于连续捕获图像; 以及中央处理单元，连接到图像捕获单元，用于处理由图像捕获单元捕获的图像以计算材料的重量。本发明具有高精度，良好的可靠性和稳定性等优点，适用于不具有恒定速度的带，并且材料的体积形状和体积密度变化很大的条件。本发明的辐射安全性良好。

5. 发明申请

US20050241862A1 Equipment for on-line measuring the weight of material 失效
标题翻译：在线测量材料重量的设备
公开(公告)号：US20050241862A1
公开(公告)日：2005-11-03
申请号：US10524901
申请日：2003-08-14
申请人： Manchun Liang , Zhikang Zhang , Hongchang Yi , Qian Lin , Yonggeng Qian
发明人： Manchun Liang , Zhikang Zhang , Hongchang Yi , Qian Lin , Yonggeng Qian
IPC分类号： G01G9/00 , G01G11/14 , G01G19/00
CPC分类号： G01G9/00 , G01G11/14
摘要： An apparatus for weighing materials online is disclosed, which belongs to an art of online weighing of material. The apparatus comprises: a light-emitting unit, emitting light beams irradiating on the surface of materials transported on a belt to form a bright projection which has the same shape as that of a upper contour of a cross-section of the material; and a CCD camera for continuously picking up images of the bright projection on the upper contour of the cross-section of the material; and an image capture unit, connected to the CCD camera for continuously capturing the images; and a central processing unit, connected to the image capture unit for processing the images captured by the image capture unit to compute a weight of the material. The present invention has many advantages, such as, high precision, good reliability and stability, which applies to the belt without a constant speed and a condition that a bulk shape and the bulk density of the material change largely. And the radiation safety of the present invention is good.
摘要翻译：公开了一种在线称重材料的设备，属于在线称重材料的技术。该装置包括：发光单元，发射照射在传送在带上的材料的表面上的光束，以形成具有与材料的横截面的上轮廓相同形状的明亮突起; 以及用于连续地拾取材料横截面的上轮廓上的明亮突起的图像的CCD照相机; 以及图像捕获单元，连接到CCD照相机，用于连续捕获图像; 以及中央处理单元，连接到图像捕获单元，用于处理由图像捕获单元捕获的图像以计算材料的重量。本发明具有高精度，良好的可靠性和稳定性等优点，适用于不具有恒定速度的带，并且材料的体积形状和体积密度变化很大的条件。本发明的辐射安全性良好。

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