CN108401150A - 一种模拟视觉主观感知的压缩感知重建算法质量统计评价方法 - Google Patents
一种模拟视觉主观感知的压缩感知重建算法质量统计评价方法 Download PDFInfo
- Publication number
- CN108401150A CN108401150A CN201810241166.0A CN201810241166A CN108401150A CN 108401150 A CN108401150 A CN 108401150A CN 201810241166 A CN201810241166 A CN 201810241166A CN 108401150 A CN108401150 A CN 108401150A
- Authority
- CN
- China
- Prior art keywords
- compressed sensing
- evaluation
- algorithm
- image
- subjective perception
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 158
- 230000008447 perception Effects 0.000 title claims abstract description 106
- 230000004438 eyesight Effects 0.000 title claims abstract description 43
- 238000013528 artificial neural network Methods 0.000 claims abstract description 37
- 238000012360 testing method Methods 0.000 claims abstract description 30
- 230000000007 visual effect Effects 0.000 claims abstract description 18
- 238000001303 quality assessment method Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000012549 training Methods 0.000 claims description 44
- 230000004927 fusion Effects 0.000 claims description 19
- 238000004088 simulation Methods 0.000 claims description 12
- 230000008859 change Effects 0.000 claims description 6
- 230000006835 compression Effects 0.000 claims description 6
- 238000007906 compression Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000013441 quality evaluation Methods 0.000 claims description 6
- 230000014509 gene expression Effects 0.000 claims description 5
- 238000012956 testing procedure Methods 0.000 claims description 4
- 238000000354 decomposition reaction Methods 0.000 claims description 3
- 230000001537 neural effect Effects 0.000 claims description 2
- 210000005036 nerve Anatomy 0.000 claims 1
- 238000002156 mixing Methods 0.000 abstract description 2
- 230000008901 benefit Effects 0.000 description 4
- 235000013399 edible fruits Nutrition 0.000 description 4
- 230000006872 improvement Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000002592 echocardiography Methods 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 210000002569 neuron Anatomy 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000005194 fractionation Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 238000000227 grinding Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 239000000155 melt Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810241166.0A CN108401150B (zh) | 2018-03-22 | 2018-03-22 | 一种模拟视觉主观感知的压缩感知重建算法质量统计评价方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810241166.0A CN108401150B (zh) | 2018-03-22 | 2018-03-22 | 一种模拟视觉主观感知的压缩感知重建算法质量统计评价方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108401150A true CN108401150A (zh) | 2018-08-14 |
CN108401150B CN108401150B (zh) | 2019-08-27 |
Family
ID=63093066
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810241166.0A Active CN108401150B (zh) | 2018-03-22 | 2018-03-22 | 一种模拟视觉主观感知的压缩感知重建算法质量统计评价方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108401150B (zh) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109670485A (zh) * | 2019-01-23 | 2019-04-23 | 华南理工大学 | 基于多数据压缩追踪算法的旋转机械局部型故障远程诊断方法 |
CN111711816A (zh) * | 2020-07-08 | 2020-09-25 | 福州大学 | 基于可察知编码效应强度的视频客观质量评价方法 |
CN112233089A (zh) * | 2020-10-14 | 2021-01-15 | 西安交通大学 | 一种无参考立体混合失真图像质量评价方法 |
CN112669289A (zh) * | 2020-12-30 | 2021-04-16 | 科大讯飞股份有限公司 | 影像质量评估方法、装置、电子设备及存储介质 |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101282481A (zh) * | 2008-05-09 | 2008-10-08 | 中国传媒大学 | 一种基于人工神经网络的视频质量评价方法 |
KR101035365B1 (ko) * | 2010-02-04 | 2011-05-20 | 서강대학교산학협력단 | Cs를 이용한 화질 평가 장치 및 방법 |
CN104954778A (zh) * | 2015-06-04 | 2015-09-30 | 宁波大学 | 一种基于感知特征集的立体图像质量客观评价方法 |
CN105118053A (zh) * | 2015-08-06 | 2015-12-02 | 浙江科技学院 | 一种基于压缩感知的全参考图像质量客观评价方法 |
EP2425623B1 (fr) * | 2009-04-28 | 2016-04-06 | Thales | Procede d'estimation du debit et de la distorsion de donnees d'images codees a posteriori de l'encodage |
CN105956159A (zh) * | 2016-05-13 | 2016-09-21 | 浙江科技学院 | 一种评价图像质量客观方法综合效率的算法 |
WO2016183011A1 (en) * | 2015-05-11 | 2016-11-17 | Netflix, Inc. | Techniques for predicting perceptual video quality |
-
2018
- 2018-03-22 CN CN201810241166.0A patent/CN108401150B/zh active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101282481A (zh) * | 2008-05-09 | 2008-10-08 | 中国传媒大学 | 一种基于人工神经网络的视频质量评价方法 |
EP2425623B1 (fr) * | 2009-04-28 | 2016-04-06 | Thales | Procede d'estimation du debit et de la distorsion de donnees d'images codees a posteriori de l'encodage |
KR101035365B1 (ko) * | 2010-02-04 | 2011-05-20 | 서강대학교산학협력단 | Cs를 이용한 화질 평가 장치 및 방법 |
WO2016183011A1 (en) * | 2015-05-11 | 2016-11-17 | Netflix, Inc. | Techniques for predicting perceptual video quality |
CN104954778A (zh) * | 2015-06-04 | 2015-09-30 | 宁波大学 | 一种基于感知特征集的立体图像质量客观评价方法 |
CN105118053A (zh) * | 2015-08-06 | 2015-12-02 | 浙江科技学院 | 一种基于压缩感知的全参考图像质量客观评价方法 |
CN105956159A (zh) * | 2016-05-13 | 2016-09-21 | 浙江科技学院 | 一种评价图像质量客观方法综合效率的算法 |
Non-Patent Citations (1)
Title |
---|
丰明坤等: "基于视觉显著失真度的图像质量自适应评价方法", 《电子与信息学报》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109670485A (zh) * | 2019-01-23 | 2019-04-23 | 华南理工大学 | 基于多数据压缩追踪算法的旋转机械局部型故障远程诊断方法 |
CN109670485B (zh) * | 2019-01-23 | 2022-10-25 | 华南理工大学 | 基于多数据压缩追踪算法的旋转机械局部型故障远程诊断方法 |
CN111711816A (zh) * | 2020-07-08 | 2020-09-25 | 福州大学 | 基于可察知编码效应强度的视频客观质量评价方法 |
CN111711816B (zh) * | 2020-07-08 | 2022-11-11 | 福州大学 | 基于可察知编码效应强度的视频客观质量评价方法 |
CN112233089A (zh) * | 2020-10-14 | 2021-01-15 | 西安交通大学 | 一种无参考立体混合失真图像质量评价方法 |
CN112233089B (zh) * | 2020-10-14 | 2022-10-25 | 西安交通大学 | 一种无参考立体混合失真图像质量评价方法 |
CN112669289A (zh) * | 2020-12-30 | 2021-04-16 | 科大讯飞股份有限公司 | 影像质量评估方法、装置、电子设备及存储介质 |
Also Published As
Publication number | Publication date |
---|---|
CN108401150B (zh) | 2019-08-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108401150B (zh) | 一种模拟视觉主观感知的压缩感知重建算法质量统计评价方法 | |
CN108428227B (zh) | 基于全卷积神经网络的无参考图像质量评价方法 | |
CN105208374B (zh) | 一种基于深度学习的无参考图像质量客观评价方法 | |
CN107027023B (zh) | 基于神经网络的VoIP无参考视频通信质量客观评价方法 | |
CN107483920B (zh) | 一种基于多层级质量因子的全景视频评估方法及系统 | |
CN110060236B (zh) | 基于深度卷积神经网络的立体图像质量评价方法 | |
CN109167996B (zh) | 一种基于卷积神经网络的无参考立体图像质量评价方法 | |
CN109272499A (zh) | 基于卷积自编码网络的无参考图像质量评价方法 | |
Fang et al. | Stereoscopic image quality assessment by deep convolutional neural network | |
CN101562675B (zh) | 基于Contourlet变换的无参考型图像质量评测方法 | |
Liu et al. | A high-definition diversity-scene database for image quality assessment | |
CN102547368B (zh) | 一种立体图像质量客观评价方法 | |
CN102945552A (zh) | 基于自然场景统计中稀疏表示的无参考图像质量评价方法 | |
Ma et al. | Reduced-reference stereoscopic image quality assessment using natural scene statistics and structural degradation | |
CN102209257A (zh) | 一种立体图像质量客观评价方法 | |
CN104954778B (zh) | 一种基于感知特征集的立体图像质量客观评价方法 | |
Geng et al. | A stereoscopic image quality assessment model based on independent component analysis and binocular fusion property | |
CN108074239A (zh) | 一种基于先验感知质量特征图的无参考图像质量客观评价方法 | |
CN109816646B (zh) | 一种基于退化决策逻辑的无参考图像质量评价方法 | |
CN104376565A (zh) | 基于离散余弦变换和稀疏表示的无参考图像质量评价方法 | |
CN108615231A (zh) | 一种基于神经网络学习融合的全参考图像质量客观评价方法 | |
CN107240136A (zh) | 一种基于深度学习模型的静态图像压缩方法 | |
CN112767385B (zh) | 基于显著性策略与特征融合无参考图像质量评价方法 | |
CN109862350A (zh) | 基于时空域特征提取的无参考视频质量评价方法 | |
CN108010023A (zh) | 基于张量域曲率分析的高动态范围图像质量评价方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for 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: 20210406 Address after: Room 423, 4 / F, 101, 4-5 / F, building 1, No. 175, Litang Road, Changping District, Beijing 102200 Patentee after: Hong Xing (Beijing) Intellectual Property Service Co.,Ltd. Address before: 310023 No. 318 stay Road, Xihu District, Zhejiang, Hangzhou Patentee before: ZHEJIANG University OF SCIENCE AND TECHNOLOGY Effective date of registration: 20210406 Address after: 102200 423, 4 / F, block a, Xinhua future city building, 175 Litang Road, Changping District, Beijing Patentee after: Li Qiannan Address before: Room 423, 4 / F, 101, 4-5 / F, building 1, No. 175, Litang Road, Changping District, Beijing 102200 Patentee before: Hong Xing (Beijing) Intellectual Property Service Co.,Ltd. |
|
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20220119 Address after: 518000 Room 201, building A, No. 1, Qian Wan Road, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong (Shenzhen Qianhai business secretary Co., Ltd.) Patentee after: Shenzhen yisibo KUKE Technology Co.,Ltd. Address before: 102200 423, 4 / F, block a, Xinhua future city building, 175 Litang Road, Changping District, Beijing Patentee before: Li Qiannan |