CN107169484B - 基于人眼视觉特性的图像质量评价方法 - Google Patents
基于人眼视觉特性的图像质量评价方法 Download PDFInfo
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- CN107169484B CN107169484B CN201710575476.1A CN201710575476A CN107169484B CN 107169484 B CN107169484 B CN 107169484B CN 201710575476 A CN201710575476 A CN 201710575476A CN 107169484 B CN107169484 B CN 107169484B
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Images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/37—Determination of transform parameters for the alignment of images, i.e. image registration using transform domain methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
- G06V10/464—Salient features, e.g. scale invariant feature transforms [SIFT] using a plurality of salient features, e.g. bag-of-words [BoW] representations
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- 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
- G06T2207/20048—Transform domain processing
- G06T2207/20052—Discrete cosine transform [DCT]
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- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Ophthalmology & Optometry (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
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Families Citing this family (2)
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CN109543820B (zh) * | 2018-11-23 | 2022-09-23 | 中山大学 | 基于架构短句约束向量和双重视觉关注机制的图像描述生成方法 |
CN111079740A (zh) * | 2019-12-02 | 2020-04-28 | 咪咕文化科技有限公司 | 图像的质量评价方法、电子设备和计算机可读存储介质 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105631890A (zh) * | 2016-02-04 | 2016-06-01 | 上海文广科技(集团)有限公司 | 基于图像梯度和相位一致性的失焦图片质量评价方法 |
CN106408561A (zh) * | 2016-09-10 | 2017-02-15 | 天津大学 | 一种基于图像纹理特征的无参考图像质量评价方法 |
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- 2017-07-14 CN CN201710575476.1A patent/CN107169484B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105631890A (zh) * | 2016-02-04 | 2016-06-01 | 上海文广科技(集团)有限公司 | 基于图像梯度和相位一致性的失焦图片质量评价方法 |
CN106408561A (zh) * | 2016-09-10 | 2017-02-15 | 天津大学 | 一种基于图像纹理特征的无参考图像质量评价方法 |
Non-Patent Citations (4)
Title |
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Detecting visual saliency using image signature;M.Karthikeyan et al;《2015 International Conference on Computing and Communications Technologies》;20151231;第302-305页 * |
No-reference image quality assessment based on BNB measurement;Ruigang Fang et al;《ChinaSIP 2013》;20131231;第528-532页 * |
一种基于视觉特性的图像质量评价指标;杨迪威 等;《信号处理》;20111130;第27卷(第11期);第1691-1695页 * |
基于尺度不变性的无参考图像质量评价;田金沙 等;《计算机应用》;20160310;第36卷(第3期);第789-794页 * |
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