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    Method for evaluating quality of tone-mapping image based on exposure analysis
    3.
    发明授权
    Method for evaluating quality of tone-mapping image based on exposure analysis 有权

    公开(公告)号：US10210433B2

    公开(公告)日：2019-02-19

    申请号：US15698624

    申请日：2017-09-07

    Applicant: Ningbo University

    Inventor： Gangyi Jiang ,  Yang Song ,  Fen Chen ,  Mei Yu

    IPC: G06K9/62 ,  G06K9/46 ,  G06K9/03 ,  G06T7/00 ,  H04N1/00 ,  H04N5/235

    Abstract: A method for evaluating quality of tone-mapping image based on exposure analysis is provided, which explores the exposure properties on each area of the high dynamic range image utilizing the pre-exposure method and divides the high dynamic range image into three parts of an easy overexposed area, an easy underexposed area and an easy natural-exposed area, wherein different quality characteristics are extracted in different areas, which is capable of ensuring that the follow-up quality characteristic extraction is more targeted. The present invention takes the difference of distortion between the tone-mapping image and the conventional image into account, and extracts image characteristics such as the abnormal exposure rate, the underexposed residual energy, the overexposed residual energy and the exposure color index, so as to accurately reflect the quality degradation of the tone-mapping image.

    Video quality objective assessment method based on spatiotemporal domain structure
    5.
    发明申请
    Video quality objective assessment method based on spatiotemporal domain structure 审中-公开
    基于时空域结构的视频质量客观评估方法

    公开(公告)号：US20160330439A1

    公开(公告)日：2016-11-10

    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 ,  H04N19/89 ,  H04N19/154

    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.

    Abstract translation: 基于时空域结构的视频质量客观评估方法首先结合时空域梯度大小和颜色信息，计算时空域局部相似度，然后使用方差融合进行空间域融合。 将时空域局部相似度融合为帧级客体质量值，然后通过模拟人类的平滑效应，平滑效应，非对称轨道效应和近似效应三种重要的全局时间效应建立了时域融合模型 视觉系统。 最后得到失真视频序列的客观质量值。 通过对人类视觉时域效应进行建模，本发明的时域加权方法能够准确有效地评估失真视频的客观质量。

    Objective assessment method for stereoscopic video quality based on wavelet transform
    6.
    发明授权
    Objective assessment method for stereoscopic video quality based on wavelet transform 有权
    基于小波变换的立体视频质量目标评估方法

    公开(公告)号：US09460501B1

    公开(公告)日：2016-10-04

    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: G06K9/00 ,  G06T7/00 ,  H04N13/00 ,  G06T7/20

    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.

    Abstract translation: 基于小波变换的立体视频质量的客观评估方法以双目亮度信息融合的方式融合立体图像的左视点图像和右视点图像中的像素的亮度值，获得双眼融合亮度图像 立体图像。 双眼亮度信息融合的方式克服了在某种程度上评估立体视觉质量评估的立体感知质量的困难，并且有效地增加了立体视频客观质量评估的准确性。 在对应于失真的立体视频的双目融合亮度图像视频中对每个帧组进行称重质量时，客观评估方法充分考虑视频中的各种类型的信息的人眼视觉特征的灵敏度，并且确定视频的重量 每个帧组基于运动强度和亮度差。

    Zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding
    7.
    发明申请
    Zero-watermarking registration and detection method for HEVC video streaming against requantization transcoding 审中-公开

    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.

    Digital watermarking based method for objectively evaluating quality of stereo image
    9.
    发明授权
    Digital watermarking based method for objectively evaluating quality of stereo image 有权
    基于数字水印的方法，客观评价立体图像质量

    公开(公告)号：US09094665B2

    公开(公告)日：2015-07-28

    申请号：US14216923

    申请日：2014-03-17

    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。

    3D-HEVC inter-frame information hiding method based on visual perception
    10.
    发明授权
    3D-HEVC inter-frame information hiding method based on visual perception 有权

    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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