CN105828061A - 一种基于视觉掩蔽效应的虚拟视点质量评价方法 - Google Patents
一种基于视觉掩蔽效应的虚拟视点质量评价方法 Download PDFInfo
- Publication number
- CN105828061A CN105828061A CN201610307584.6A CN201610307584A CN105828061A CN 105828061 A CN105828061 A CN 105828061A CN 201610307584 A CN201610307584 A CN 201610307584A CN 105828061 A CN105828061 A CN 105828061A
- Authority
- CN
- China
- Prior art keywords
- pixel
- image
- visual point
- pixel value
- virtual visual
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000000007 visual effect Effects 0.000 title claims abstract description 176
- 238000000034 method Methods 0.000 title claims abstract description 73
- 230000000873 masking effect Effects 0.000 title claims abstract description 21
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 18
- 238000009877 rendering Methods 0.000 claims abstract description 57
- 230000008569 process Effects 0.000 claims abstract description 25
- 238000009826 distribution Methods 0.000 claims abstract description 16
- 238000011156 evaluation Methods 0.000 claims description 27
- 230000004304 visual acuity Effects 0.000 claims description 18
- 238000013508 migration Methods 0.000 claims description 12
- 230000005012 migration Effects 0.000 claims description 12
- 230000011218 segmentation Effects 0.000 claims description 9
- 238000001914 filtration Methods 0.000 claims description 8
- 239000004744 fabric Substances 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 230000004438 eyesight Effects 0.000 description 7
- 238000012360 testing method Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 230000008859 change Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000007906 compression Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- GJJFMKBJSRMPLA-HIFRSBDPSA-N (1R,2S)-2-(aminomethyl)-N,N-diethyl-1-phenyl-1-cyclopropanecarboxamide Chemical compound C=1C=CC=CC=1[C@@]1(C(=O)N(CC)CC)C[C@@H]1CN GJJFMKBJSRMPLA-HIFRSBDPSA-N 0.000 description 1
- 239000006002 Pepper Substances 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000003339 best practice Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
- H04N13/106—Processing image signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/04—Diagnosis, testing or measuring for television systems or their details for receivers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Library & Information Science (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Computational Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Algebra (AREA)
- Software Systems (AREA)
- Image Analysis (AREA)
Abstract
Description
测试序列 | 分辨率(像素pixel) | 相机参数 |
Book Arrival | 1024×768 | 相机个数:16基线距离6.5cm |
Newspaper | 1024×768 | 相机个数:9基线距离5cm |
Lovebirds | 1024×768 | 相机个数:12基线距离3cm |
方法 | PLCC(%) | RMSE13 --> |
本发明方法 | 80.50 | 0.3799 |
峰值信噪比 | 47.27 | 0.61 |
结构相似度 | 41.3 | 0.65 |
多尺度结构相似度 | 55.21 | 0.59 |
视觉信噪比 | 36.25 | 0.65 |
视觉保真度 | 31.3 | 0.66 |
像素域视觉保真度 | 22.4 | 0.68 |
通用质量索引 | 19.1 | 0.68 |
信息保真度准则 | 22.3 | 0.68 |
噪声质量测度 | 51.4 | 0.60 |
加权信噪比 | 47.7 | 0.61 |
信噪比 | 40.85 | 0.64 |
人类视觉掩蔽峰值信噪比 | 42.53 | 0.63 |
人类视觉峰值信噪比 | 41.4 | 0.64 |
方法 | A1 | A5 | A4 | A2 | A6 | A3 | A7 |
主观评分结果 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
本发明方法 | 1 | 4 | 3 | 2 | 6 | 5 | 7 |
峰值信噪比 | 7 | 2 | 3 | 4 | 1 | 5 | 6 |
结构相似度 | 7 | 1 | 1 | 4 | 3 | 6 | 514 --> |
多尺度结构相似度 | 7 | 2 | 1 | 4 | 2 | 6 | 5 |
视觉信噪比 | 7 | 1 | 3 | 5 | 2 | 6 | 4 |
视觉保真度 | 7 | 2 | 2 | 5 | 1 | 6 | 4 |
像素域视觉保真度 | 7 | 1 | 1 | 5 | 1 | 6 | 4 |
通用质量索引 | 7 | 3 | 1 | 5 | 1 | 6 | 4 |
信息保真度准则 | 7 | 3 | 2 | 5 | 1 | 6 | 4 |
噪声质量测度 | 7 | 2 | 3 | 4 | 1 | 5 | 6 |
加权信噪比 | 7 | 2 | 3 | 4 | 1 | 5 | 6 |
人类视觉掩蔽峰值信噪比 | 7 | 2 | 3 | 4 | 1 | 5 | 6 |
人类视觉峰值信噪比 | 7 | 2 | 3 | 4 | 1 | 5 | 6 |
Claims (8)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610307584.6A CN105828061B (zh) | 2016-05-11 | 2016-05-11 | 一种基于视觉掩蔽效应的虚拟视点质量评价方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610307584.6A CN105828061B (zh) | 2016-05-11 | 2016-05-11 | 一种基于视觉掩蔽效应的虚拟视点质量评价方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105828061A true CN105828061A (zh) | 2016-08-03 |
CN105828061B CN105828061B (zh) | 2017-09-29 |
Family
ID=56528632
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610307584.6A Active CN105828061B (zh) | 2016-05-11 | 2016-05-11 | 一种基于视觉掩蔽效应的虚拟视点质量评价方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105828061B (zh) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106803952A (zh) * | 2017-01-20 | 2017-06-06 | 宁波大学 | 结合jnd模型的交叉验证深度图质量评价方法 |
CN108919265A (zh) * | 2018-07-16 | 2018-11-30 | 北京航空航天大学 | 一种基于互信息量最大的星载TomoSAR空间基线序列设计方法 |
CN112529805A (zh) * | 2020-12-14 | 2021-03-19 | 北京达佳互联信息技术有限公司 | 图像修复方法、装置、电子设备和存储介质 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102333233A (zh) * | 2011-09-23 | 2012-01-25 | 宁波大学 | 一种基于视觉感知的立体图像质量客观评价方法 |
CN102708567A (zh) * | 2012-05-11 | 2012-10-03 | 宁波大学 | 一种基于视觉感知的立体图像质量客观评价方法 |
CN102999911A (zh) * | 2012-11-27 | 2013-03-27 | 宁波大学 | 一种基于能量图的立体图像质量客观评价方法 |
CN103136748A (zh) * | 2013-01-21 | 2013-06-05 | 宁波大学 | 一种基于特征图的立体图像质量客观评价方法 |
KR20140148080A (ko) * | 2013-06-21 | 2014-12-31 | 한국과학기술원 | 시각적으로 편안한 입체 영상을 위한 스테레오스코픽 영상 촬영 방법 및 시스템 |
-
2016
- 2016-05-11 CN CN201610307584.6A patent/CN105828061B/zh active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102333233A (zh) * | 2011-09-23 | 2012-01-25 | 宁波大学 | 一种基于视觉感知的立体图像质量客观评价方法 |
CN102708567A (zh) * | 2012-05-11 | 2012-10-03 | 宁波大学 | 一种基于视觉感知的立体图像质量客观评价方法 |
CN102999911A (zh) * | 2012-11-27 | 2013-03-27 | 宁波大学 | 一种基于能量图的立体图像质量客观评价方法 |
CN103136748A (zh) * | 2013-01-21 | 2013-06-05 | 宁波大学 | 一种基于特征图的立体图像质量客观评价方法 |
KR20140148080A (ko) * | 2013-06-21 | 2014-12-31 | 한국과학기술원 | 시각적으로 편안한 입체 영상을 위한 스테레오스코픽 영상 촬영 방법 및 시스템 |
Non-Patent Citations (2)
Title |
---|
朱宏等: "一种基于人眼视觉特性的视频质量评价算法", 《计算机辅助设计与图形学学报》 * |
焦任直等: "基于图像分割的深度视频校正算法", 《光电子·激光》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106803952A (zh) * | 2017-01-20 | 2017-06-06 | 宁波大学 | 结合jnd模型的交叉验证深度图质量评价方法 |
CN108919265A (zh) * | 2018-07-16 | 2018-11-30 | 北京航空航天大学 | 一种基于互信息量最大的星载TomoSAR空间基线序列设计方法 |
CN108919265B (zh) * | 2018-07-16 | 2022-05-06 | 北京航空航天大学 | 一种基于互信息量最大的星载TomoSAR空间基线序列设计方法 |
CN112529805A (zh) * | 2020-12-14 | 2021-03-19 | 北京达佳互联信息技术有限公司 | 图像修复方法、装置、电子设备和存储介质 |
CN112529805B (zh) * | 2020-12-14 | 2024-04-30 | 北京达佳互联信息技术有限公司 | 图像修复方法、装置、电子设备和存储介质 |
Also Published As
Publication number | Publication date |
---|---|
CN105828061B (zh) | 2017-09-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kim et al. | Adaptive smoothness constraints for efficient stereo matching using texture and edge information | |
CN101588445B (zh) | 一种基于深度的视频感兴趣区域提取方法 | |
CN108182690B (zh) | 一种基于前景加权局部对比度的红外微弱目标检测方法 | |
CN106780485A (zh) | 基于超像素分割和特征学习的sar图像变化检测方法 | |
CN108830832A (zh) | 一种基于机器视觉的塑料筒表面缺陷检测算法 | |
CN103226820B (zh) | 改进的二维最大熵分割夜视图像融合目标检测算法 | |
CN110047139B (zh) | 一种指定目标三维重建方法及系统 | |
CN109636784A (zh) | 基于最大邻域和超像素分割的图像显著性目标检测方法 | |
CN104463870A (zh) | 一种图像显著区域检测方法 | |
CN110728302A (zh) | 一种基于HSV和Lab颜色空间的色纺织物组织识别的方法 | |
CN108664939A (zh) | 一种基于hog特征与深度学习的遥感图像飞机识别方法 | |
CN103955949A (zh) | 基于Mean-shift算法的运动目标检测方法 | |
CN106157323A (zh) | 一种动态分块阈值和块搜索结合的绝缘子分割提取方法 | |
CN110378924A (zh) | 基于局部熵的水平集图像分割方法 | |
CN110245600B (zh) | 自适应起始快速笔画宽度无人机道路检测方法 | |
Chen et al. | Single depth image super-resolution using convolutional neural networks | |
CN105828061A (zh) | 一种基于视觉掩蔽效应的虚拟视点质量评价方法 | |
CN110910365A (zh) | 一种同时对于动态场景和静态场景的多曝光融合图像的质量评价方法 | |
CN109658523A (zh) | 利用ar增强现实应用实现车辆各功能使用说明的方法 | |
CN109101985A (zh) | 一种基于自适应邻域测试的图像误匹配点对剔除方法 | |
CN108154150A (zh) | 一种基于背景先验的显著性检测方法 | |
CN104992176B (zh) | 一种面向碑文的汉字提取方法 | |
CN111091071A (zh) | 基于探地雷达双曲波拟合的地下目标检测方法及系统 | |
CN104268845A (zh) | 极值温差短波红外图像的自适应双局部增强方法 | |
Shiting et al. | Clustering-based shadow edge detection in a single color image |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20190809 Address after: Room 1,020, Nanxun Science and Technology Pioneering Park, No. 666 Chaoyang Road, Nanxun District, Huzhou City, Zhejiang Province, 313000 Patentee after: Huzhou You Yan Intellectual Property Service Co.,Ltd. Address before: 315211 Zhejiang Province, Ningbo Jiangbei District Fenghua Road No. 818 Patentee before: Ningbo University |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20210520 Address after: 518057 Room 101, building 1, building 10, Maqueling Industrial Zone, Maling community, Yuehai street, Nanshan District, Shenzhen City, Guangdong Province Patentee after: Shenzhen Weier Vision Technology Co.,Ltd. Address before: 313000 room 1020, science and Technology Pioneer Park, 666 Chaoyang Road, Nanxun Town, Nanxun District, Huzhou, Zhejiang. Patentee before: Huzhou You Yan Intellectual Property Service Co.,Ltd. |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A virtual viewpoint quality evaluation method based on visual masking effect Effective date of registration: 20220125 Granted publication date: 20170929 Pledgee: Bank of Jiangsu Limited by Share Ltd. Shenzhen branch Pledgor: Shenzhen Weier Vision Technology Co.,Ltd. Registration number: Y2022440020017 |
|
PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20230111 Granted publication date: 20170929 Pledgee: Bank of Jiangsu Limited by Share Ltd. Shenzhen branch Pledgor: Shenzhen Weier Vision Technology Co.,Ltd. Registration number: Y2022440020017 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A method of virtual viewpoint quality evaluation based on visual masking effect Effective date of registration: 20230116 Granted publication date: 20170929 Pledgee: Bank of Jiangsu Limited by Share Ltd. Shenzhen branch Pledgor: Shenzhen Weier Vision Technology Co.,Ltd. Registration number: Y2023440020009 |