Invention Grant
- Patent Title: Method and system for image reconstruction using target attribute assisted compressive sensing
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Application No.: US16120461Application Date: 2018-09-04
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Publication No.: US10706593B2Publication Date: 2020-07-07
- Inventor: Jianjun Huang , Runqing Liang , Li Kang , Zhongyin Liang
- Applicant: SHENZHEN UNIVERSITY
- Applicant Address: CN Shenzhen
- Assignee: SHENZHEN UNIVERSITY
- Current Assignee: SHENZHEN UNIVERSITY
- Current Assignee Address: CN Shenzhen
- Main IPC: G06T11/00
- IPC: G06T11/00 ; H04N19/94 ; G06K9/62 ; G06K9/20

Abstract:
The present invention provides a method for image reconstruction using target attribute assisted compressive sensing, including an initializing step, a subspace partitioning step, an atom set updating step, a sparse coefficient updating step and an outputting step. The present invention further provides a system for image reconstruction using target attribute assisted compressive sensing. A technical scheme provided by the present invention will introduce auxiliary information capable of reflecting target features into subspace partitioning in a case of unknown sparseness of a small target image signal, thereby accurately and effectively selecting the most closely matching dictionary subspace, and realizing efficient and rapid reconstruction of the small target image signal.
Public/Granted literature
- US20180374243A1 METHOD AND SYSTEM FOR IMAGE RECONSTRUCTION USING TARGET ATTRIBUTE ASSISTED COMPRESSIVE SENSING Public/Granted day:2018-12-27
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |