CN113902931B - 基于学习型卷积稀疏编码的图像去雨方法 - Google Patents
基于学习型卷积稀疏编码的图像去雨方法 Download PDFInfo
- Publication number
- CN113902931B CN113902931B CN202111095476.4A CN202111095476A CN113902931B CN 113902931 B CN113902931 B CN 113902931B CN 202111095476 A CN202111095476 A CN 202111095476A CN 113902931 B CN113902931 B CN 113902931B
- Authority
- CN
- China
- Prior art keywords
- image
- rain
- sparse coding
- learning type
- gradient
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000003384 imaging method Methods 0.000 claims description 10
- 230000015556 catabolic process Effects 0.000 claims description 9
- 238000006731 degradation reaction Methods 0.000 claims description 9
- 239000011159 matrix material Substances 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 4
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 claims description 3
- 238000009795 derivation Methods 0.000 claims description 3
- 238000005215 recombination Methods 0.000 claims description 3
- 230000006798 recombination Effects 0.000 claims description 3
- 239000013598 vector Substances 0.000 claims description 3
- 238000013528 artificial neural network Methods 0.000 description 5
- 238000013135 deep learning Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000003042 antagnostic effect Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000945 filler Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/168—Segmentation; Edge detection involving transform domain methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
-
- 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
- G06T2207/20084—Artificial neural networks [ANN]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
Description
Claims (7)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111095476.4A CN113902931B (zh) | 2021-09-17 | 2021-09-17 | 基于学习型卷积稀疏编码的图像去雨方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111095476.4A CN113902931B (zh) | 2021-09-17 | 2021-09-17 | 基于学习型卷积稀疏编码的图像去雨方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113902931A CN113902931A (zh) | 2022-01-07 |
CN113902931B true CN113902931B (zh) | 2022-07-12 |
Family
ID=79028666
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111095476.4A Active CN113902931B (zh) | 2021-09-17 | 2021-09-17 | 基于学习型卷积稀疏编码的图像去雨方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113902931B (zh) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106709926A (zh) * | 2016-12-12 | 2017-05-24 | 四川大学 | 基于动态先验知识估计的快算去雨算法 |
CN106971377A (zh) * | 2016-08-22 | 2017-07-21 | 上海海洋大学 | 一种基于稀疏与低秩矩阵分解的单幅图像去雨方法 |
CN107657593A (zh) * | 2017-04-20 | 2018-02-02 | 湘潭大学 | 一种单幅图像去雨方法 |
CN108765327A (zh) * | 2018-05-18 | 2018-11-06 | 百年金海科技有限公司 | 一种基于景深和稀疏编码的图像去雨方法 |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106504204A (zh) * | 2016-10-12 | 2017-03-15 | 天津大学 | 一种基于稀疏表示的单幅图像去雨方法 |
CN107240084B (zh) * | 2017-06-14 | 2021-04-02 | 湘潭大学 | 一种单幅图像去雨方法及装置 |
CN108520501B (zh) * | 2018-03-30 | 2020-10-27 | 西安交通大学 | 一种基于多尺度卷积稀疏编码的视频去雨雪方法 |
CN110264434B (zh) * | 2019-05-20 | 2022-12-30 | 广东工业大学 | 一种基于低秩矩阵补全的单幅图像去雨方法 |
CN110544215B (zh) * | 2019-08-23 | 2023-07-21 | 淮阴工学院 | 一种基于各向异性稀疏梯度的交通监控图像去雨方法 |
CN111127354B (zh) * | 2019-12-17 | 2022-07-26 | 武汉大学 | 一种基于多尺度字典学习的单图像去雨方法 |
CN111709887B (zh) * | 2020-05-28 | 2023-09-22 | 淮阴工学院 | 基于稀疏盲探测和图像多重特征修复的图像去雨方法 |
-
2021
- 2021-09-17 CN CN202111095476.4A patent/CN113902931B/zh active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106971377A (zh) * | 2016-08-22 | 2017-07-21 | 上海海洋大学 | 一种基于稀疏与低秩矩阵分解的单幅图像去雨方法 |
CN106709926A (zh) * | 2016-12-12 | 2017-05-24 | 四川大学 | 基于动态先验知识估计的快算去雨算法 |
CN107657593A (zh) * | 2017-04-20 | 2018-02-02 | 湘潭大学 | 一种单幅图像去雨方法 |
CN108765327A (zh) * | 2018-05-18 | 2018-11-06 | 百年金海科技有限公司 | 一种基于景深和稀疏编码的图像去雨方法 |
Also Published As
Publication number | Publication date |
---|---|
CN113902931A (zh) | 2022-01-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN1125410C (zh) | 多分辨率图象检索的方法和设备 | |
CN103020939B (zh) | 利用多时相数据去除光学遥感影像大面积厚云的方法 | |
CN113673590A (zh) | 基于多尺度沙漏密集连接网络的去雨方法、系统和介质 | |
CN111127354B (zh) | 一种基于多尺度字典学习的单图像去雨方法 | |
Zhang et al. | Nonlocal low-rank tensor factor analysis for image restoration | |
CN115935147A (zh) | 低秩和稀疏张量表示的交通数据恢复和异常值检测方法 | |
Chen et al. | Nonuniformly dehaze network for visible remote sensing images | |
CN113902931B (zh) | 基于学习型卷积稀疏编码的图像去雨方法 | |
CN117437519A (zh) | 一种无水尺水位识别方法及装置 | |
CN112837220A (zh) | 一种提高红外图像分辨率的方法及其用途 | |
CN115861384B (zh) | 基于生成对抗和注意力机制的光流估计方法及系统 | |
Liu et al. | Comparative Analysis of Pixel Level Fusion Algorithms in High Resolution SAR and Optical Image Fusion | |
CN112862729B (zh) | 一种基于特征曲线指导的遥感图像去噪方法 | |
CN115861709A (zh) | 基于卷积神经网络的智能视觉检测设备及其方法 | |
Yufeng et al. | Research on SAR image change detection algorithm based on hybrid genetic FCM and image registration | |
CN111709887B (zh) | 基于稀疏盲探测和图像多重特征修复的图像去雨方法 | |
CN111462014B (zh) | 一种基于深度学习和模型驱动的单图去雨方法 | |
Mujtaba et al. | Automatic solar panel detection from high-resolution orthoimagery using deep learning segmentation networks | |
CN113487491A (zh) | 一种基于稀疏性与非局部均值自相似性的图像复原方法 | |
Yang et al. | Curvelet support value filters (CSVFs) for image super-resolution | |
Li et al. | A research and strategy of remote sensing image denoising algorithms | |
CN114882292B (zh) | 基于跨样本关注机制图神经网络的遥感影像海洋目标识别方法 | |
CN116503746B (zh) | 基于多层嵌套非全映射u型网络的红外小目标检测方法 | |
CN113379638B (zh) | 基于小波变换和间隔密集网络的sar图像去斑方法 | |
Chen et al. | HSI-IPGAN: Hyperspectral Image Inpainting via Generative Adversarial Network |
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 |
Effective date of registration: 20240416 Address after: 230000 Room 203, building 2, phase I, e-commerce Park, Jinggang Road, Shushan Economic Development Zone, Hefei City, Anhui Province Patentee after: Hefei Jiuzhou Longteng scientific and technological achievement transformation Co.,Ltd. Country or region after: China Address before: 223400 8th floor, Anton building, 10 Haian Road, Lianshui, Huaian, Jiangsu Patentee before: HUAIYIN INSTITUTE OF TECHNOLOGY Country or region before: China |
|
TR01 | Transfer of patent right |