公开(公告)号：US10297000B2

公开(公告)日：2019-05-21

申请号：US15807242

申请日：2017-11-08

申请人： Ningbo University

发明人： Gangyi Jiang ,  Yongqiang Bai ,  Mei Yu ,  Yang Wang

IPC分类号： G06T1/00 ,  G06F21/60 ,  G06K9/46 ,  G09C5/00 ,  G06F21/71

摘要： A high dynamic range image information hiding method includes embedding secret information and extracting the secret information. The step of embedding secret information includes obtaining three channel values of every pixel in an original high dynamic range image; according to every channel value and corresponding 5-bit exponent of every pixel, determining an embedding significance bit of the information to be embedded in every channel value of every pixel; embedding information into every channel value of every pixel; and obtaining a high dynamic range image embedded with the secret information. The step of extracting the secret information includes obtaining three channel values of every pixel in the high dynamic range image embedded with the secret information; obtaining an information embedding position of every channel value embedded with the information of every pixel; extracting information from every channel value embedded with the information of every pixel; and obtaining secret information sequences.

公开(公告)号：US20170109858A1

公开(公告)日：2017-04-20

申请号：US15045256

申请日：2016-02-17

申请人： Ningbo University

发明人： Gangyi Jiang ,  Jing Wang ,  Mei Yu ,  Fen Chen

IPC分类号： G06T1/00 ,  H04N19/40 ,  H04N19/467

CPC分类号： G06T1/0028 ,  G06T1/0057 ,  G06T2201/0053 ,  H04N19/40 ,  H04N19/467

摘要： A zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding is provided. To increase an attack-resistance of a registration watermarking, the registration method firstly processes depth values corresponding to respective brightness blocks in a target video streaming with a depth binarization during constructing registration watermarking information through depth features, because the depth binarization well reflects a robustness of the registration watermarking. A first watermarking information matrix including a part of the depth values after the depth binarization is encrypted with a random matrix, so as to increase a safety of the registration watermarking. The registration method directly generates zero-watermarking through the depth features of the video streaming without modifying original carrier information and affecting a watermarking transparency. Meanwhile, the registration method has a strong robustness against attacks, such as the requantization transcoding of quantization parameters within a certain range of variation and common signal processing.

公开(公告)号：US20160301909A1

公开(公告)日：2016-10-13

申请号：US14949045

申请日：2015-11-23

申请人： Ningbo University

发明人： Mei Yu ,  Kaihui Zheng ,  Gangyi Jiang ,  Yang Song ,  Shanshan Liu

IPC分类号： H04N13/00 ,  G06T7/00 ,  G06T7/20

CPC分类号： G06T7/55 ,  G06T7/0002 ,  G06T2207/10021 ,  G06T2207/30168 ,  H04N17/00 ,  H04N19/597 ,  H04N2013/0085

摘要： A method for assessing an objective quality of a stereoscopic video based on reduced time-domain weighting, which considers a time domain perception redundant characteristic of human eyes during a video perception, includes steps of: through a motion intensity mean value and a motion intensity variance of an undistorted stereoscopic video and the motion intensity mean value and the motion intensity variance of each frame group, determining a motion intensity level of each frame group of the undistorted stereoscopic video; for the frame groups having different motion intensity levels, selecting undistorted reduced stereoscopic images through different frame extracting strategies with different densities; measuring a quality of a simultaneous distorted reduced stereoscopic image relative to the undistorted reduced stereoscopic image; through weighting each quality of the simultaneous distorted reduced stereoscopic image relative to the undistorted reduced stereoscopic image, obtaining a quality of a distorted stereoscopic video relative to the undistorted stereoscopic video.

摘要翻译： 一种在视频感知期间考虑人眼的时域感知冗余特性的基于减小的时域加权来评估立体视频的客观质量的方法包括以下步骤：通过运动强度平均值和运动强度方差 确定不失真立体视频的每个帧组的运动强度水平;以及运动强度平均值和每个帧组的运动强度方差， 对于具有不同运动强度级别的帧组，通过具有不同密度的不同帧提取策略选择未失真的缩小立体图像; 测量相对于未失真的缩小立体图像的同时失真的缩小的立体图像的质量; 通过对相对于未失真的减少立体图像的同时失真的缩小立体图像的每个质量进行加权，获得相对于未失真立体视频的失真立体视频的质量。

公开(公告)号：US09094665B2

公开(公告)日：2015-07-28

申请号：US14216923

申请日：2014-03-17

申请人： Ningbo University

发明人： Gangyi Jiang ,  Wujie Zhou ,  Mei Yu ,  Feng Shao ,  Zongju Peng ,  Fen Chen ,  Xiaodong Wang ,  Fucui Li

IPC分类号： G06K9/00 ,  H04N13/00 ,  G06T7/00 ,  H04N19/625 ,  H04N19/85 ,  H04N19/467 ,  G06T1/00

CPC分类号： H04N13/161 ,  G06T1/0028 ,  G06T7/0002 ,  G06T2201/005 ,  G06T2207/10012 ,  G06T2207/30168 ,  H04N13/194 ,  H04N19/467 ,  H04N19/48 ,  H04N19/597 ,  H04N19/625 ,  H04N19/85 ,  H04N2013/0074

摘要： A digital watermarking based method for objectively evaluating quality of stereo image includes: at transmitting terminal, extracting characteristics of the left-view image and the right-view image of an undistorted stereo image in DCT domain and embedding digital watermarking obtained by processing quantization coding on the characteristics into the DCT domain; at a receiving terminal, detecting the digital watermarking embedded in the distorted stereo image and processing decoding and inverse quantization to extract the embedded characteristics of the left-view image and the right-view image of the stereo image, obtaining a stereo perception value and a view quality value of the distorted stereo image according to the embedded characteristics, and finally obtaining an objective quality score of the distorted stereo image utilizing a support vector regression model.

摘要翻译： 一种用于客观评价立体声图像质量的数字水印方法包括：在发送终端，提取DCT域中未失真立体声图像的左视图图像和右视图图像的特征，并将通过处理量化编码获得的数字水印嵌入 特征进入DCT域; 在接收终端，检测嵌入失真的立体声图像中的数字水印，并处理解码和逆量化以提取立体图像的左视图和右视图的嵌入特性，获得立体感知值和 根据嵌入特性来观看失真的立体图像的质量值，并且最终使用支持向量回归模型获得失真的立体图像的客观质量得分。

公开(公告)号：US20150093016A1

公开(公告)日：2015-04-02

申请号：US14216923

申请日：2014-03-17

申请人： Ningbo University

发明人： Gangyi Jiang ,  Wujie Zhou ,  Mei Yu ,  Feng Shao ,  Zongju Peng ,  Fen Chen ,  Xiaodong Wang ,  Fucui Li

IPC分类号： H04N13/00 ,  H04N19/467 ,  H04N19/85 ,  G06T7/00 ,  H04N19/625

CPC分类号： H04N13/161 ,  G06T1/0028 ,  G06T7/0002 ,  G06T2201/005 ,  G06T2207/10012 ,  G06T2207/30168 ,  H04N13/194 ,  H04N19/467 ,  H04N19/48 ,  H04N19/597 ,  H04N19/625 ,  H04N19/85 ,  H04N2013/0074

摘要： A digital watermarking based method for objectively evaluating quality of stereo image includes: at transmitting terminal, extracting characteristics of the left-view image and the right-view image of an undistorted stereo image in DCT domain and embedding digital watermarking obtained by processing quantization coding on the characteristics into the DCT domain; at a receiving terminal, detecting the digital watermarking embedded in the distorted stereo image and processing decoding and inverse quantization to extract the embedded characteristics of the left-view image and the right-view image of the stereo image, obtaining a stereo perception value and a view quality value of the distorted stereo image according to the embedded characteristics, and finally obtaining an objective quality score of the distorted stereo image utilizing a support vector regression model.

公开(公告)号：US08913848B2

公开(公告)日：2014-12-16

申请号：US13775195

申请日：2013-02-24

申请人： Ningbo University

发明人： Gangyi Jiang ,  Cuixia Bai ,  Mei Yu ,  Yigang Wang ,  Zongju Peng ,  Feng Shao

IPC分类号： G06T3/40 ,  G06T5/50

CPC分类号： G06T3/40 ,  G06T5/50 ,  G06T7/187 ,  G06T2207/20221

摘要： A microscopic image fusion method based on region growing judges the fuzzy degree of the microscopic image and determines the fuzzy seed block by evaluating the definition of every image block in the microscopic image. Then, the fuzzy region and clear region are exactly segmented by region growing and are marked. Finally, a clear and high-quality microscopic image, fused by a plurality of microscopic images, is obtained. Due to the combination of the definition evaluation of the microscopic image, and segmentation of the fuzzy region and clear region by region growing, the fusion results of the microscopic image of the present invention show great advantages at the subjective human perception and the objective evaluation. Furthermore, the present invention has simple calculation and stable result, is easy to be implemented and adapted for fusing the digital optical microscopic images which are shot by shallow depth of field.

摘要翻译： 基于区域生长的微观图像融合方法判断了微观图像的模糊度，并通过评估微观图像中每个图像块的定义来确定模糊种子块。 然后，模糊区域和清晰区域按区域增长精确分割，并进行标记。 最后，获得通过多个显微图像融合的透明和高质量的显微图像。 由于微观图像的定义评估和模糊区域的分割以及区域增长的清晰区域的组合，本发明的显微图像的融合结果在主观人感知和客观评价中显示出很大的优点。 此外，本发明具有计算简单，结果稳定，容易实现和适用于融合由浅景深拍摄的数字光学显微镜图像。

公开(公告)号：US09947065B2

公开(公告)日：2018-04-17

申请号：US15045256

申请日：2016-02-17

申请人： Ningbo University

发明人： Gangyi Jiang ,  Jing Wang ,  Mei Yu ,  Fen Chen

IPC分类号： G06K9/00 ,  G06T1/00 ,  H04N19/467 ,  H04N19/40

CPC分类号： G06T1/0028 ,  G06T1/0057 ,  G06T2201/0053 ,  H04N19/40 ,  H04N19/467

摘要： A zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding is provided. To increase an attack-resistance of a registration watermarking, the registration method firstly processes depth values corresponding to respective brightness blocks in a target video streaming with a depth binarization during constructing registration watermarking information through depth features, because the depth binarization well reflects a robustness of the registration watermarking. A first watermarking information matrix including a part of the depth values after the depth binarization is encrypted with a random matrix, so as to increase a safety of the registration watermarking. The registration method directly generates zero-watermarking through the depth features of the video streaming without modifying original carrier information and affecting a watermarking transparency. Meanwhile, the registration method has a strong robustness against attacks, such as the requantization transcoding of quantization parameters within a certain range of variation and common signal processing.

公开(公告)号：US09851549B2

公开(公告)日：2017-12-26

申请号：US14880169

申请日：2015-10-09

申请人： Ningbo University

发明人： Mei Yu ,  Yi Liu ,  Li Cui ,  Shengli Fan ,  Yigang Wang

IPC分类号： G02B21/00 ,  G02B21/36 ,  G02B21/22 ,  G02B21/24

CPC分类号： G02B21/367 ,  G02B21/22 ,  G02B21/244

摘要： A rapid autofocus method for a stereo microscope includes steps of: calculating a disparity of each of stereo microscopic images in a stereo microscopic calibration image sequence; extracting a clear stereo microscopic image sequence from the stereo microscopic calibration image sequence; then, finding out a largest disparity and a smallest disparity among the disparities of all the stereo microscopic images in the clear stereo microscopic image sequence; at a chosen magnification, arbitrarily acquiring a stereo microscopic image; finally, determining a disparity range according to the disparity of the acquired stereo microscopic image, the largest disparity and the smallest disparity, and realizing an autofocus of a target object in the acquired stereo microscopic images. The disparity range is obtained via once off-line calibration at the same magnification, and applicable to the autofocus at an arbitrary timing.

公开(公告)号：US20160350941A1

公开(公告)日：2016-12-01

申请号：US15233950

申请日：2016-08-11

申请人： Ningbo University

发明人： Mei Yu ,  Zhaoyun Wang ,  Fen Chen ,  Meiling He

IPC分类号： G06T7/40

CPC分类号： G06T7/0002 ,  G06K9/4661 ,  G06K9/6252 ,  G06T2207/10012 ,  G06T2207/20081 ,  G06T2207/30168 ,  H04N13/00 ,  H04N13/133

摘要： An objective assessment method for a stereoscopic image quality combined with manifold characteristics and binocular characteristics trains a matrix after dimensionality reduction and whitening obtained from natural scene plane images through an orthogonal locality preserving projection algorithm, for obtaining a best mapping matrix. Image blocks, not important for visual perception, are removed. After finishing selecting the image blocks, through the best mapping matrix, manifold characteristic vectors of the image blocks are extracted, and a structural distortion of a distorted image is measured according to a manifold characteristic similarity. Considering influences of an image luminance variation on human eyes, a luminance distortion of the distorted image is calculated according to a mean value of the image blocks. After obtaining the manifold similarity and the luminance similarity, quality values of the left and right viewpoint images are processed with linear weighting to obtain a quality value of the distorted stereoscopic image.

摘要翻译： 对于与歧管特征和双目特征组合的立体图像质量的客观评估方法，通过正交局部保留投影算法从自然场景平面图像获得的维数降低和白化之后训练矩阵，以获得最佳映射矩阵。 图像块，对视觉感知不重要，被删除。 在完成选择图像块之后，通过最佳映射矩阵，提取图像块的多重特征向量，并根据流形特征相似度来测量失真图像的结构失真。 考虑到图像亮度变化对人眼的影响，根据图像块的平均值计算失真图像的亮度失真。 在获得歧管相似性和亮度相似性之后，利用线性加权处理左和右视点图像的质量值，以获得失真的立体图像的质量值。

公开(公告)号：US20160299329A1

公开(公告)日：2016-10-13

申请号：US14880169

申请日：2015-10-09

申请人： Ningbo University

发明人： Mei Yu ,  Yi Liu ,  Li Cui ,  Shengli Fan ,  Yigang Wang

IPC分类号： G02B21/36 ,  G02B21/22

CPC分类号： G02B21/367 ,  G02B21/22 ,  G02B21/244

摘要： A rapid autofocus method for a stereo microscope includes steps of: calculating a disparity of each of stereo microscopic images in a stereo microscopic calibration image sequence; extracting a clear stereo microscopic image sequence from the stereo microscopic calibration image sequence; then, finding out a largest disparity and a smallest disparity among the disparities of all the stereo microscopic images in the clear stereo microscopic image sequence; at a chosen magnification, arbitrarily acquiring a stereo microscopic image; finally, determining a disparity range according to the disparity of the acquired stereo microscopic image, the largest disparity and the smallest disparity, and realizing an autofocus of a target object in the acquired stereo microscopic images. The disparity range is obtained via once off-line calibration at the same magnification, and applicable to the autofocus at an arbitrary timing.

摘要翻译： 用于立体显微镜的快速自动聚焦方法包括以下步骤：计算立体微观校准图像序列中的每个立体显微镜图像的视差; 从立体显微校准图像序列中提取清晰的立体显微镜图像序列; 然后，在清晰立体显微镜图像序列中发现所有立体显微镜图像的差异之间的最大差异和最小的差异; 以选定的放大倍数任意获取立体显微图像; 最后，根据获取的立体显微镜图像的差异，最大视差和最小视差来确定视差范围，并且在获取的立体显微图像中实现目标对象的自动聚焦。 视差范围通过一次离线校准在相同的放大倍率下获得，并可适用于任意定时的自动对焦。