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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
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.
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Patent Agency Ranking
公开(公告)号：US09892499B2
公开(公告)日：2018-02-13
申请号：US15233950
申请日：2016-08-11
Applicant: Ningbo University
Inventor： Mei Yu , Zhaoyun Wang , Fen Chen , Meiling He
CPC classification number: G06T7/0002 , G06K9/4661 , G06K9/6252 , G06T2207/10012 , G06T2207/20081 , G06T2207/30168 , H04N13/00 , H04N13/133
Abstract: 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.
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公开(公告)号：US09756323B2
公开(公告)日：2017-09-05
申请号：US15214456
申请日：2016-07-20
Applicant: Ningbo University
Inventor： Mei Yu , Yaqi Lv , Fen Chen , Shanshan Liu
IPC: H04N17/02 , H04N19/154 , H04N19/89
CPC classification number: H04N17/02 , H04N19/154 , H04N19/89
Abstract: A video quality objective assessment method based on a spatiotemporal domain structure firstly combines a spatiotemporal domain gradient magnitude and color information for calculating a spatiotemporal domain local similarity, and then uses variance fusion for spatial domain fusion. The spatiotemporal domain local similarity is fused into frame-level objective quality value, and then a temporal domain fusion model is established by simulating three important global temporal effects, which are a smoothing effect, an asymmetric track effects and a recency effect, of a human visual system. Finally, the objective quality values of the distorted video sequence are obtained. By modeling the human visual temporal domain effect, the temporal domain weighting method of the present invention is able to accurately and efficiently evaluate the objective quality of the distorted video.
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公开(公告)号：US20170177975A1
公开(公告)日：2017-06-22
申请号：US15062112
申请日：2016-03-06
Applicant: Ningbo University
Inventor： Mei Yu , Zhaoyun Wang , Zongju Peng , Fen Chen , Yang Song
CPC classification number: G06K9/6256 , G06K9/036 , G06K9/4652 , G06K9/6248 , G06T7/90 , G06T2207/30168
Abstract: An image quality objective evaluation method based on manifold feature similarity is disclosed, which firstly adopts visual salience and visual threshold to remove image blocks which are unimportant to visual perception, namely, uses roughing selection and fine selection; and then utilizes the best mapping matrix after block selection to extract manifold feature vectors of image blocks which are selected from original undistorted natural scene images and distorted images to be evaluated; and then measures the structural distortion of distorted images according to manifold feature similarity; and then considers effects of image brightness changes on human eyes and obtains the brightness distortion of distorted images based on an average value of image blocks, and finally obtains quality scores according to structural distortion and brightness distortion; which allows the method of the present invention to have a higher evaluation accuracy, and also expands the evaluation capacity to various distortions.
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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
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。
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26.发明申请公开(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
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。
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