公开(公告)号：US20190220958A1

公开(公告)日：2019-07-18

申请号：US16359990

申请日：2019-03-20

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu ZHANG ,  Xuan HOU ,  Chuan ZHANG ,  Li LIU ,  Quan CHEN ,  Ao ZHONG ,  Mingxing XU ,  Yutian ZHOU

IPC: G06T5/00 ,  G06T5/10 ,  G06T5/20 ,  G06T5/40 ,  G06T7/136

Abstract: An aerothermal-radiation correction method, including: using a Gaussian surface to approximate a thermal radiation noise, performing a Fourier transform on the Gaussian surface so as to obtain a centralized spectrum of the thermal radiation noise, constructing a filter function H based on the centralized spectrum of the thermal radiation noise; performing a Fourier transform on the aerothermal-radiation degraded image f so as to obtain a centralized spectrum F, taking dot product of F and H to obtain a filtered spectrum G; and performing an inverse Fourier transform on filtered spectrum G to obtain a modulus, and acquire a corrected image. The method effectively removes background noise generated by aerothermal radiation, greatly improves image quality and image signal-to-noise ratio. The method features reduced computational complexity and a shorter operation time, and is suited for real-time processing.

公开(公告)号：US20180350041A1

公开(公告)日：2018-12-06

申请号：US15577335

申请日：2016-04-13

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xuan HOU ,  Chuan ZHANG ,  Li LIU ,  Quan CHEN ,  Ao ZHONG ,  Mingxing XU ,  Yutian ZHOU

IPC: G06T5/00 ,  G06T5/40 ,  G06T5/10

CPC classification number: G06T5/00

Abstract: An aerothermal radiation effect frequency domain correction method, comprising: use a Gaussian surface to approximate a thermal radiation noise, perform a Fourier transform on the thermal radiation noise to obtain an amplitude spectrum, then normalize and segment the amplitude spectrum to obtain a filter thresholding template, BW, then use the filter thresholding template, BW, to construct a filter function, H; perform a Fourier transform on an image degraded by aerodynamic thermal radiation, f, to obtain a centralized frequency spectrum, F, then take the dot product of F and H to obtain a real-time image frequency spectrum, G; and perform an inverse Fourier transform on G to obtain a modulus, and acquire an image corrected for thermal radiation, g. Using the method effectively removes background noise generated by aerothermal radiation to restore a clear image, greatly improving image quality and image signal-to-noise ratio. The method further features reduced computational complexity and a shorter operation time, and is therefore better suited for real-time processing.

公开(公告)号：US20180286017A1

公开(公告)日：2018-10-04

申请号：US15562887

申请日：2016-04-13

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Chuan ZHANG ,  Xuan HOU ,  Li LIU ,  Quan CHEN ,  Ao ZHONG ,  Mingxing XU ,  Yutian ZHOU

IPC: G06T5/00 ,  G06T5/50 ,  G06T7/00

CPC classification number: G06T5/002 ,  G06T5/00 ,  G06T5/50 ,  G06T7/0002 ,  G06T2207/10048 ,  G06T2207/20024 ,  G06T2207/20182

Abstract: Disclosed in the present invention is a contrast constrained aerothermal radiation correction method. By analyzing features of images at different intensities of aerothermal radiation, it has been discovered that the stronger the aerothermal radiation effect is, the smaller the image contrast becomes, and when thermal radiation correction is performed using a gradient fitting algorithm, it has been discovered that time consumption thereof grows exponentially with an increase in a degree of a fitting surface and with an increase in an image size. The present invention can rapidly and effectively restore an aerothermal radiation image, remarkably improving a signal to noise ratio and quality of the image.

公开(公告)号：US20180293709A1

公开(公告)日：2018-10-11

申请号：US15576847

申请日：2016-04-13

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Xuan HOU ,  Chuan ZHANG ,  Li LIU ,  Quan CHEN ,  Ao ZHONG ,  Mingxing XU ,  Yutian ZHOU

IPC: G06T5/00 ,  G06T5/10

CPC classification number: G06T5/002 ,  G06T5/00 ,  G06T5/009 ,  G06T5/10 ,  G06T2207/20056

Abstract: An aerodynamic optical effect correction and identification integrated real-time processing system, comprising an FPGA module, a multi-core main processor DSP, a plurality of auxiliary processors ASICs and an infrared image non-uniformity correction system-on-chip (SoC). By means of the system, full-image thermal radiation correction, denoising, transmission effect correction and target detection processes of an aerodynamic optical effect degradation image are achieved. Correspondingly, provided is the corresponding method. The system effectively solves the problem of aerodynamic optical effect and the problem of the requirement for a short detection time interval of the processor in an aircraft flying at a high speed; due to the adoption of the independently researched and developed ASIC, the real-time property of the whole system is greatly improved; all tasks are rationally distributed and a multi-core parallel mode is adopted, so the image processing time is greatly shortened; and meanwhile, the FPGA module connects all units to form a closed-loop system, so that the system stability is further improved.

公开(公告)号：US20160321788A1

公开(公告)日：2016-11-03

申请号：US15022872

申请日：2015-02-10

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Tianxu ZHANG ,  Gang ZHOU ,  Ao ZHONG ,  Liangliang WANG ,  Ming LI ,  Cen LU ,  Wen ZHANG ,  Zhiyong ZUO

IPC: G06T5/00

CPC classification number: G06T5/003 ,  G06T5/00 ,  G06T2207/20004 ,  G06T2207/20012 ,  G06T2207/20056

Abstract: The invention discloses a direction-adaptive image deblurring method, comprising steps of: (1) defining a minimum cost function for deblurring an image by direction-adaptive total variation regularization; (2) converting the unconstrained minimization problem in step (1) to a constrained problem by auxiliary variables d1=Hu, d2=∇xu and d3=∇yu; (3) obtaining a new minimum cost function from the constrained problem in step (2) by introducing penalty terms; and (4) converting the minimization problem in step (3) to an alternating minimization problem about u, d1, d2 and d3, where a minimum of a variable is calculated as other variables are determined, and obtaining a deblurred image by solving the alternating minimization problem by an alternative and iterative minimization process. Compared with the prior art, the present invention obtains a new direction-adaptive cost function by introducing local direction information into a maximum a posteriori algorithm, solves a problem of edges of an image restored by traditional TV regularization terms being blurred, and can restore images of complex blurring types or images with abundant textures.

Abstract translation: 本发明公开了一种方向自适应图像去模糊方法，包括以下步骤：（1）通过方向自适应总变异规则化定义去除图像的最小成本函数; （2）通过辅助变量d1 = Hu，d2 =∇xu和d3 =∇yu将步骤（1）中的无约束最小化问题转换为约束问题; （3）通过引入惩罚条件，在步骤（2）从约束问题中获得新的最小成本函数; 和（4）将步骤（3）中的最小化问题转换为关于u，d1，d2和d3的交替最小化问题，其中确定变量的最小值作为其他变量，并且通过求解交替 通过替代和迭代最小化过程的最小化问题。 与现有技术相比，本发明通过将局部方向信息引入到最大后验算法中来获得新的方向自适应成本函数，解决了由传统TV正则化项被模糊而恢复的图像的边缘的问题，并且可以恢复图像 复杂的模糊类型或具有丰富纹理的图像。