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公开(公告)号：US10237576B2
公开(公告)日：2019-03-19
申请号：US15260302
申请日：2016-09-08
Applicant: Ningbo University
Inventor： Gangyi Jiang , Jing Wang , Yang Song , Hua Shao
IPC: H04N7/24 , H04N19/593 , H04N19/467 , H04N19/463 , H04N19/597 , H04N19/48 , H04N7/167 , H04N19/176
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.
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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
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.
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公开(公告)号：US20170372175A1
公开(公告)日：2017-12-28
申请号：US15698624
申请日：2017-09-07
Applicant: Ningbo University
Inventor： Gangyi Jiang , Yang Song , Fen Chen , Mei Yu
CPC classification number: G06K9/6269 , G06K9/036 , G06K9/4642 , G06K9/4652 , G06K9/4661 , G06T7/0002 , G06T2207/20076 , G06T2207/20081 , G06T2207/20208 , G06T2207/30168 , H04N1/00002 , H04N5/2355
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.
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4.发明授权公开(公告)号：US09836843B2
公开(公告)日：2017-12-05
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: G06T7/00 , H04N17/00 , H04N13/00 , H04N19/597
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.
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5.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
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。
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Patent Agency Ranking
6.发明申请Method for assessing objective quality of stereoscopic video based on reduced time-domain weighting 审中-公开基于减少的时域加权来评估立体视频的客观质量的方法公开(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
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。
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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
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.
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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：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
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：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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