公开(公告)号：US10311560B2

公开(公告)日：2019-06-04

申请号：US15709454

申请日：2017-09-19

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Nong Sang ,  Lerenhan Li ,  Luxin Yan ,  Changxin Gao ,  Yuanjie Shao ,  Juncai Peng ,  Shiwei Zhang ,  Jin Wang

IPC: G06K9/40 ,  G06T7/00 ,  G06N3/02 ,  G06F17/11 ,  G06F17/18 ,  G06T5/00 ,  G06K9/46

Abstract: A method for estimating a blur kernel size, the method including: (1) pre-processing a blurred image, to obtain an image, so that a size of the image satisfies an image input size of a multi-class convolutional neural network (CNN); (2) inputting the image into a multi-class CNN with completed training, to obtain a blur-kernel-size probability distribution vector; and (3) comparing each element in the blur-kernel-size probability distribution vector, so that an estimated blur kernel size of the blurred image is the blur kernel size corresponding to a largest element. The invention also provides a system for estimating a blur kernel size. The system includes an image pre-processing module, a training-set synthesizing module, a multi-class CNN module, and a blur kernel size estimation module.

公开(公告)号：US11093778B2

公开(公告)日：2021-08-17

申请号：US16079565

申请日：2018-01-08

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Nong Sang ,  Lerenhan Li ,  Hao Yan ,  Changxin Gao ,  Luxin Yan ,  Shiwei Zhang ,  Zhixiong Pi

IPC: G06K9/00 ,  G06K9/20 ,  G06K9/46

Abstract: The present invention discloses a method and system for selecting an image region that facilitates blur kernel estimation, in which the method includes: calculating a relative total variation value of each pixel in a blurred image to obtain a relative total variation mapping image; setting a threshold value to determine whether respective pixel in the image is a boundary pixel or not; then sampling the blurred image and its relative total variation mapping image to obtain a series of image patches; and finally counting the number of boundary pixels in each mapping image patch and selecting out an image region that facilitates blur kernel estimation. According to the method and the system, the problems of excessive dependency on operator experience, low efficiency and the like in the existing region selection methods are effectively solved. The image region that facilitates blur kernel estimation is automatically selected out. And the method and the system are suitable for the application occasion of the blur kernel estimation in an image deblurring algorithm.

公开(公告)号：US09904987B2

公开(公告)日：2018-02-27

申请号：US15126271

申请日：2016-03-17

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Lerenhan Li ,  Nong Sang ,  Changxin Gao ,  Luxin Yan ,  Jin Wang ,  Shiwei Zhang ,  Yuanjie Shao ,  Juncai Peng

IPC: G06K9/40 ,  G06T5/00 ,  G06T3/40 ,  G06T7/00

CPC classification number: G06T5/002 ,  G06T3/4007 ,  G06T3/4076 ,  G06T7/0002 ,  G06T2207/10048 ,  G06T2207/20076

Abstract: The invention discloses a method for correcting aero-optical thermal radiation noise, comprising steps of: pretreating a degraded image to obtain a multi-scale degraded image group, conducting iteration process of obtaining an optimal solution by using a last scale estimation result as an original value of next scale estimation according to the multi-scale degraded image group, thereby facilitating original-scale bias field estimation, and restoring the degraded image according to the original-scale bias field estimated value thereby obtaining an image after aero-optical thermal radiation noise correction. The invention also discloses a system for correcting aero-optical thermal radiation noise. The invention is capable of solving problems with conventional methods, comprising poor correction effect, high complexity, and incapability in correcting the thermal radiation noise at an image level, and applicable to restoration of an image with aero-optical thermal radiation noise.

公开(公告)号：US09286651B2

公开(公告)日：2016-03-15

申请号：US14693847

申请日：2015-04-22

Applicant: Huazhong University of Science and Technology

Inventor： Tianxu Zhang ,  Shiying Gao ,  Yuehuan Wang ,  Sheng Zhong ,  Luxin Yan ,  Pengxian Yu ,  Bin Lu ,  Hao Li

IPC: G06K9/00 ,  G06T3/00 ,  G06T3/60 ,  H04N5/33

CPC classification number: G06T3/0068 ,  G06K9/00624 ,  G06K9/00986 ,  G06T3/60 ,  G06T2207/10016 ,  H04N5/33

Abstract: An aircraft-based infrared image recognition device for a ground moving target, including an infrared non-uniformity correction module, an image rotation module, an image registration module, a multi-level filtering module, a connected domain labeling module, a target detection and feature recognition module, a process control module, and a FPGA-based interconnection module. The invention uses an ASIC/SoC chip for image processing and target recognition, the DSP processor and the FPGA processor, it is possible to enable a multi-level image processing and target recognition algorithm, to improve system parallel, and to facilitate an aircraft-based infrared image recognition method for a ground moving target. Meanwhile, embodiments of the invention effectively reduce power consumption of the device.

Abstract translation: 一种用于地面移动目标的基于飞机的红外图像识别装置，包括红外不均匀性校正模块，图像旋转模块，图像配准模块，多级过滤模块，连接域标签模块，目标检测和 特征识别模块，过程控制模块和基于FPGA的互连模块。 本发明使用用于图像处理和目标识别的ASIC / SoC芯片，DSP处理器和FPGA处理器，可以实现多级图像处理和目标识别算法，以改进系统并行，并且促进飞机 - 基于地面移动目标的红外图像识别方法。 同时，本发明的实施例有效地降低了设备的功耗。