公开(公告)号：US20160301909A1

公开(公告)日：2016-10-13

申请号：US14949045

申请日：2015-11-23

Applicant: Ningbo University

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

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

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

Abstract: 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.

Abstract translation: 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：US20160300339A1

公开(公告)日：2016-10-13

申请号：US15054151

申请日：2016-02-26

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Yang Song ,  Zongju Peng ,  Fen Chen ,  Kaihui Zheng ,  Shanshan Liu

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

CPC classification number: G06T7/0002 ,  G06T2207/10021 ,  G06T2207/10028 ,  G06T2207/20064 ,  G06T2207/30168 ,  H04N13/106 ,  H04N13/161 ,  H04N19/597 ,  H04N2013/0081 ,  H04N2013/0085

Abstract: An objective assessment method for a stereoscopic video quality based on a wavelet transform fuses brightness values of pixels in a left viewpoint image and a right viewpoint image of a stereoscopic image in a manner of binocular brightness information fusion, and obtains a binocular fusion brightness image of the stereoscopic image. The manner of binocular brightness information fusion overcomes a difficulty in assessing a stereoscopic perception quality of a stereoscopic video quality assessment to some extent and effectively increases an accuracy of a stereoscopic video objective quality assessment. When weighing qualities of each frame group in a binocular fusion brightness image video corresponding to a distorted stereoscopic video, the objective assessment method fully considers a sensitivity degree of a human eye visual characteristic to various types of information in the video, and determines a weight of each frame group based on a motion intensity and a brightness difference.

公开(公告)号：US09094665B2

公开(公告)日：2015-07-28

申请号：US14216923

申请日：2014-03-17

Applicant: Ningbo University

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

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

CPC classification number: 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

Abstract: 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.

Abstract translation: 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：US20180075569A1

公开(公告)日：2018-03-15

申请号：US15807242

申请日：2017-11-08

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Yongqiang Bai ,  Mei Yu ,  Yang Wang

IPC: G06T1/00 ,  G06K9/46 ,  G06F21/60

CPC classification number: G06T1/0021 ,  G06F21/602 ,  G06F21/71 ,  G06K9/46 ,  G06T1/0028 ,  G09C5/00

Abstract: 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：US20170374347A1

公开(公告)日：2017-12-28

申请号：US15687276

申请日：2017-08-25

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Jing Wang ,  Fen Chen ,  Yongqiang Bai ,  Yang Wang

IPC: H04N13/00 ,  H04N19/467 ,  H04N19/182 ,  H04N19/176 ,  H04N19/172 ,  H04N19/597 ,  H04N19/124

CPC classification number: H04N13/161 ,  H04N13/15 ,  H04N19/124 ,  H04N19/132 ,  H04N19/136 ,  H04N19/154 ,  H04N19/172 ,  H04N19/176 ,  H04N19/182 ,  H04N19/467 ,  H04N19/597

Abstract: A 3D-HEVC inter-frame information hiding method based on visual perception includes steps of information embedding and information extraction. In the step of information embedding, the human visual perception characteristic is considered, stereo salient images are obtained by a stereo image salient model, and the stereo salient images are divided into salient blocks and non-salient blocks with an otsu threshold. The coding quantization parameters are modified according to different modulation rules for different regions. Then, based on the modified quantization parameters, the coding-tree-units are coded to complete the information embedding. In the step of information extraction, no original video is needed, no any side information needs to be transmitted, and the secret information can be blindly extracted. The present invention combines with the human visual perception characteristic, and selects P frames and B frames as embedded frames for effectively reducing the decrease of the stereo video subjective quality.

公开(公告)号：US09846818B2

公开(公告)日：2017-12-19

申请号：US15197604

申请日：2016-06-29

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Meiling He ,  Fen Chen ,  Yang Song

IPC: G06K9/46 ,  G06T7/20 ,  G06T7/60 ,  G06K9/52 ,  G06K9/62

CPC classification number: G06K9/4652 ,  G06K9/00288 ,  G06K9/036 ,  G06K9/4642 ,  G06K9/4671 ,  G06K9/52 ,  G06K9/6201 ,  G06K9/6223 ,  G06K9/6247 ,  G06K2009/4695 ,  G06T7/0002 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/30168

Abstract: An objective assessment method for a color image quality based on online manifold learning considers a relationship between a saliency and an image quality objective assessment. Through a visual saliency detection algorithm, saliency maps of a reference image and a distorted image are obtained for further obtaining a maximum fusion saliency map. Based on maximum saliencies of image blocks in the maximum fusion saliency map, a saliency difference between each reference image block and a corresponding distorted image block is measured through an absolute difference, and thus reference visual important image blocks and distorted visual important image blocks are screened and extracted. Through manifold eigenvectors of the reference visual important image blocks and the distorted visual important image blocks, an objective quality assessment value of the distorted image is calculated. The method has an increased assessment effect and a higher correlation between an objective assessment result and a subjective perception.

公开(公告)号：US20160381389A1

公开(公告)日：2016-12-29

申请号：US15260302

申请日：2016-09-08

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Jing Wang ,  Yang Song ,  Hua Shao

IPC: H04N19/593 ,  H04N19/172 ,  H04N19/103 ,  H04N19/176 ,  H04N19/463 ,  H04N19/467 ,  H04N19/115

CPC classification number: H04N19/593 ,  H04N19/463 ,  H04N19/467 ,  H04N19/48 ,  H04N19/597

Abstract: The present invention disclosed a 3D-HEVC depth video information hiding method based on single-depth intra mode, which comprises information embedment part and information extraction part. During information embedment, if the pixels in the candidate list are equal using the encrypt information to modulate the index of the pixel and completes the embedment. If the pixels are different, judging the neighboring CU of the CU whose depth is 2 or 3 and modulating the index of the pixel to complete embedment of the hidden information. The advantage of the present invention is high security, low calculation complexity and small influence on data rate.

Abstract translation: 本发明公开了一种基于单深度模式的3D-HEVC深度视频信息隐藏方法，包括信息嵌入部分和信息提取部分。 在信息嵌入期间，如果候选列表中的像素相等，则使用加密信息来调制像素的索引并完成嵌入。 如果像素不同，则判断深度为2或3的CU的相邻CU，并调制像素的索引以完成隐藏信息的嵌入。 本发明的优点是安全性高，计算复杂度低，对数据速率影响小。

公开(公告)号：US20160029015A1

公开(公告)日：2016-01-28

申请号：US14486076

申请日：2014-09-15

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Yang Song ,  Shanshan Liu ,  Kaihui Zheng ,  Xin Jin

IPC: H04N17/00

CPC classification number: H04N17/004 ,  G06T7/0002 ,  G06T2207/10016 ,  G06T2207/20064 ,  G06T2207/30168

Abstract: A video quality evaluation method based on 3D wavelet transform utilizes 3D wavelet transform in the video quality evaluation, for transforming the group of pictures (GOP for short) of the video. By splitting the video sequence on a time axis, time-domain information of the GOPs is described, which to a certain extent solves a problem that the video time-domain information is difficult to be described, and effectively improves accuracy of objective video quality evaluation, so as to effectively improve relativity between the objective quality evaluation result and the subjective quality judged by the human eyes. For time-domain relativity between the GOPs, the method weighs the quality of the GOPs according to the motion intensity and the brightness, in such a manner that the method is able to better meet human visual characteristics.

Abstract translation: 基于3D小波变换的视频质量评估方法在视频质量评估中利用3D小波变换，对视频的图像组（简称为GOP）进行变换。 通过在时间轴上分割视频序列，描述了GOP的时域信息，这在一定程度上解决了难以描述视频时域信息的问题，并且有效地提高了客观视频质量评估的准确性 ，以有效提高客观质量评估结果与人眼判断主观素质之间的相关性。 对于GOP之间的时域相关性，该方法以使得该方法能够更好地满足人类视觉特征的方式根据运动强度和亮度来权衡GOP的质量。

公开(公告)号：US09019487B2

公开(公告)日：2015-04-28

申请号：US13859130

申请日：2013-04-09

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Yigang Wang ,  Mei Yu ,  Zongju Peng ,  Feng Shao

IPC: G01B9/00 ,  G01M11/02 ,  G02B21/24

CPC classification number: G01M11/02 ,  G01M11/0264 ,  G01M11/0292 ,  G02B21/241

Abstract: A method for detecting a parfocality of a zoom-stereo microscope includes: acquiring four highest definitions corresponding to a plurality of images with a cooperation of four definition judging functions, acquiring a relatively clearest position according to the four highest definitions, comparing a definition in the relatively clearest position with a definition in a parfocal position to judge whether the relatively clearest position is the parfocal position, then adjusting a magnification of the zoom-stereo microscope to acquire the parfocal positions at a finite number of the discrete magnifications, and finally fitting a parfocal curve at the continuous magnifications. The method according to the present invention implements a parfocality detection of the stereo microscope automatically and effectively and increases a productivity, and has a high detecting precision. In addition, the method according to the present invention has a good robustness, so that users needn't intervene and adjust frequently.

Abstract translation: 一种用于检测变焦立体显微镜的分辨率的方法包括：通过四个定义判断功能的协作来获取对应于多个图像的四个最高定义，根据四个最高定义获取相对较清楚的位置，比较 相对较为清晰的位置，其中具有在焦点位置中的定义以判断相对较为清晰的位置是否是对焦位置，然后调整放大立体显微镜的放大倍率以在有限数量的离散放大倍率获取对焦位置，并且最后拟合 连续放大倍数的焦距曲线。 根据本发明的方法，自动而有效地实现了立体显微镜的parfocality检测，提高了生产率，检测精度高。 此外，根据本发明的方法具有良好的鲁棒性，使得用户不需要频繁地进行干预和调整。

公开(公告)号：US20140169661A1

公开(公告)日：2014-06-19

申请号：US14030948

申请日：2013-09-18

Applicant: Ningbo University

Inventor： Gangyi Jiang ,  Xiangjun Liu ,  Mei Yu ,  Feng Shao ,  Zongju Peng ,  Yigang Wang

IPC: G06K9/62 ,  G06T7/00 ,  G06T5/40

CPC classification number: G06K9/6212 ,  G06K9/0014 ,  G06T5/40 ,  G06T5/50 ,  G06T7/90 ,  G06T2207/10012 ,  G06T2207/10024 ,  G06T2207/10056

Abstract: A method for color correction of a pair of colorful stereo microscope images is provided, which transmits the color information of the foreground areas and the background area of the reference image to the aberrated image separately for avoiding transmission error of the color information of the varied areas of the pair of the images, thus sufficiently improves the accuracy of the color correction, reduces the difference between the color of the reference image and the color of the aberrated image, and well prepares for the stereo matching of the pair of colorful stereo microscope images as well as for the three-dimensional reconstruction and three-dimensional measurement; on the other hand, during the correction, the correcting procedure is provided automatically without manual work.

Abstract translation: 提供了一对彩色立体显微镜图像的颜色校正方法，其将前景区域的颜色信息和参考图像的背景区域分别发送到像差图像，以避免各种区域的颜色信息的传播错误 ，从而充分提高了颜色校正的精度，减少了参考图像的颜色和像差图像的颜色之间的差异，并且准备了一对彩色立体显微镜图像的立体匹配 以及三维重建和三维测量; 另一方面，在校正期间，自动地提供校正程序而无需手动工作。