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公开(公告)号：US20170286798A1
公开(公告)日：2017-10-05
申请号：US15197604
申请日：2016-06-29
Applicant: Ningbo University
Inventor： Gangyi Jiang , Meiling He , Fen Chen , Yang Song
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.
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公开(公告)号：US20150093016A1
公开(公告)日：2015-04-02
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: H04N13/00 , H04N19/467 , H04N19/85 , G06T7/00 , H04N19/625
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.
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公开(公告)号：US08913848B2
公开(公告)日：2014-12-16
申请号：US13775195
申请日：2013-02-24
Applicant: Ningbo University
Inventor： Gangyi Jiang , Cuixia Bai , Mei Yu , Yigang Wang , Zongju Peng , Feng Shao
CPC classification number: G06T3/40 , G06T5/50 , G06T7/187 , G06T2207/20221
Abstract: 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.
Abstract translation: 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。
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公开(公告)号：US10368051B2
公开(公告)日：2019-07-30
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 , H04N13/161 , H04N13/15 , H04N19/124 , H04N19/172 , H04N19/176 , H04N19/182 , H04N19/467 , H04N19/597 , H04N19/136 , H04N19/154 , H04N19/132
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.
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公开(公告)号：US09947065B2
公开(公告)日：2018-04-17
申请号：US15045256
申请日：2016-02-17
Applicant: Ningbo University
Inventor： Gangyi Jiang , Jing Wang , Mei Yu , Fen Chen
IPC: G06K9/00 , G06T1/00 , H04N19/467 , H04N19/40
CPC classification number: G06T1/0028 , G06T1/0057 , G06T2201/0053 , H04N19/40 , H04N19/467
Abstract: 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.
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Patent Agency Ranking
6.发明授权公开(公告)号：US09036901B2
公开(公告)日：2015-05-19
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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公开(公告)号：US08953873B2
公开(公告)日：2015-02-10
申请号：US13775197
申请日：2013-02-24
Applicant: Ningbo University
Inventor： Gangyi Jiang , Junming Zhou , Mei Yu , Fucui Li , Zongju Peng , Feng Shao
CPC classification number: G06K9/00201 , G06T7/00 , G06T7/0004 , G06T2207/10012 , G06T2207/20021 , G06T2207/30168
Abstract: A method for objectively evaluating quality of a stereo image is provided. The method obtains a cyclopean image of a stereo image formed in the human visual system by simulating a process that the human visual system deals with the stereo image. The cyclopean image includes three areas: an occlusion area, a binocular fusion area and a binocular suppression area. Representing characteristics of the image according to the singular value of the image has a strong stability. According characteristics of different areas of the human visual system while dealing with the cyclopean image, the distortion degree of the cyclopean image corresponding to the testing stereo image is presented by the singular value distance between cyclopean images respectively corresponding to the testing stereo image and the reference stereo image, in such a manner that an overall visual quality of the testing stereo image is finally evaluated.
Abstract translation: 提供了一种客观评价立体图像质量的方法。 该方法通过模拟人类视觉系统处理立体图像的处理，获得在人类视觉系统中形成的立体图像的环形图像。 环形图像包括三个区域：闭塞区域，双目融合区域和双眼抑制区域。 根据图像的奇异值表示图像的特征具有很强的稳定性。 根据人类视觉系统不同区域的特点，在处理相机图像的同时，对应于测试立体图像的环形图像的失真度由分别对应于测试立体图像和参考的环形图像之间的奇异值距离呈现 立体图像，以最终评估测试立体图像的整体视觉质量的方式。
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公开(公告)号：US20130223760A1
公开(公告)日：2013-08-29
申请号：US13775195
申请日：2013-02-24
Applicant: Ningbo University
Inventor： Gangyi Jiang , Cuixia Bai , Mei Yu , Yigang Wang , Zongju Peng , Feng Shao
IPC: G06T3/40
CPC classification number: G06T3/40 , G06T5/50 , G06T7/187 , G06T2207/20221
Abstract: 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.
Abstract translation: 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。
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公开(公告)号：US10297000B2
公开(公告)日：2019-05-21
申请号：US15807242
申请日：2017-11-08
Applicant: Ningbo University
Inventor： Gangyi Jiang , Yongqiang Bai , Mei Yu , Yang Wang
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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10.发明申请公开(公告)号：US20170109858A1
公开(公告)日：2017-04-20
申请号：US15045256
申请日：2016-02-17
Applicant: Ningbo University
Inventor： Gangyi Jiang , Jing Wang , Mei Yu , Fen Chen
IPC: G06T1/00 , H04N19/40 , H04N19/467
CPC classification number: G06T1/0028 , G06T1/0057 , G06T2201/0053 , H04N19/40 , H04N19/467
Abstract: 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.
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