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：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.

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

IPC: G06T3/40 ,  G06T5/50

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。

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

IPC: G06K9/00 ,  G06K9/62 ,  G06T5/40 ,  G06T5/50 ,  G06T7/40

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。

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

IPC: G06K9/00 ,  G06T7/00

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。

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。

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。

公开(公告)号：US20140029000A1

公开(公告)日：2014-01-30

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: G01M11/02

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：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

IPC: G06K9/62 ,  G06K9/46 ,  G06K9/52 ,  G06T7/40

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.