机构

• 长春光学精密机械与物... [6]
• 自动化研究所 [3]
• 地理科学与资源研究所 [2]
• 沈阳自动化研究所 [2]
• 西安光学精密机械研究... [2]
• 计算技术研究所 [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [9]
• 会议论文 [5]
• EI期刊论文 [1]
• 学位论文 [1]

发表日期

• 2023 [1]
• 2022 [1]
• 2021 [1]
• 2019 [2]
• 2018 [1]
• 2017 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共16条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Beyond Single Reference for Training: Underwater Image Enhancement via Comparative Learning 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 6, 页码: 2561-2576 作者:  Li, Kunqian;  Wu, Li;  Qi, Qi;  Liu, Wenjie;  Gao, Xiang   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/11/17 Training  Image enhancement  Visualization  Task analysis  Generators  Deep learning  Oceans  Underwater image enhancement  deep learning  convolutional neural network  comparative learning  blind image quality assessment   CBREN: Convolutional Neural Networks for Constant Bit Rate Video Quality Enhancement 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 7, 页码: 4138-4149 作者:  Zhao, Hengrun;  Zheng, Bolun;  Yuan, Shanxin;  Zhang, Hua;  Yan, Chenggang   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07 Image coding  Quantization (signal)  Streaming media  Bit rate  Image restoration  Transform coding  Video recording  Quality enhancement  CBR compressed video  dual-domain restoration   Terahertz compressive imaging: understanding and improvement by a better strategy for data selection 期刊论文  OAI收割 International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2021, 卷号: 34, 期号: 5, 页码: 1-10 作者:  Xing CG(邢春贵);  Qi F(祁峰);  Liu ZY(刘朝阳);  Wang YL(汪业龙);  Guo SX(郭树旭)   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/02/14 compressive sensing  experimental assessment  image quality enhancement  terahertz communication  terahertz imaging   Inversion Restoring Algorithm for Whiskbroom Scanning Images Synthesized with Deep Convolutional Neural Network 期刊论文  OAI收割 Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 12 作者:  C.Xu;  G.Jin;  X.Yang;  T.Xu;  L.Chang   |  收藏  |  浏览/下载：31/0  |  提交时间：2020/08/24 Image enhancement,Cameras,Convolution,Deep neural networks,Deterioration,Distortion (waves),Geometry,Image quality,Image reconstruction,Network architecture,Neural networks,Pixels,Quality control,Remote sensing,Restoration,Scanning,Space optics   Digital Time Delay and Integration Method for Wide-Range Image Motion Variation 期刊论文  OAI收割 Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 9 作者:  S.Tao;  X.Zhang;  Q.Feng;  M.Song;  Y.Wu   |  收藏  |  浏览/下载：29/0  |  提交时间：2020/08/24 Image enhancement,Image quality,Imaging systems,Integration,Interpolation,Motion compensation,Pixels,Remote sensing,Scanning,Time delay,Timing circuits   Dynamical stochastic resonance for nonuniform illumination image enhancement 期刊论文  OAI收割 IET Image Processing, 2018, 卷号: 12, 期号: 12, 页码: 2147-2152 作者:  Zhang, Yongbin;  Liu, Hongjun;  Huang, Nan;  Wang, Zhaolu   |  收藏  |  浏览/下载：52/0  |  提交时间：2018/12/18 Image Enhancement  Image Fusion  Stochastic Processes  Iterative Methods  Differential Equations  Brightness  Dynamical Stochastic Resonance  Nonuniform Illumination Image Enhancement  Dark Tones  Low-contrast Image Enhancement  Nonlinear Iteration  Monostable Langevin Equation  Iteration Parameters  Intensity Distribution  Visibility Balance  Naturalness Balance  Illumination Compensation Component  Computational Time  No-reference Perceptual Quality Assessment  Lightness Order Error  Low-computational Complexity   An Efficient Contrast Enhancement Method for Remote Sensing Images 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 10, 页码: 1715-1719 作者:  Liu, Jiahang;  Zhou, Chenghu;  Chen, Peng;  Kang, Chaomeng   |  收藏  |  浏览/下载：36/0  |  提交时间：2019/09/25 Contrast enhancement (CE)  histogram compacting transform (HCT)  histogram modification  histogram transform  linear stretch (LS)  image quality   An Efficient Contrast Enhancement Method for Remote Sensing Images 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 10, 页码: 1715-1719 作者:  Liu, Jiahang;  Zhou, Chenghu;  Chen, Peng;  Kang, Chaomeng   |  收藏  |  浏览/下载：31/0  |  提交时间：2017/12/26 Contrast EnhanCement (Ce)  Histogram Compacting Transform (Hct)  Histogram Modification  Histogram Transform  Linear Stretch (Ls)  Image Quality   Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex 期刊论文  OAI收割 IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 9, 页码: 786-795 作者:  Liu, Haoting;  Lu, Hanqing;  Zhang, Yu   |  收藏  |  浏览/下载：46/0  |  提交时间：2018/03/03 Image Enhancement  Video Surveillance  Image Restoration  Wavelet Transforms  Neural Nets  Backpropagation  Outdoor Long-range Surveillance  Blind Iq-learning Multiscale Retinex  Visible Light Camera-based  Image Enhancement Method  Blind Image Quality Learning Multiscale Retinex  Image Brightness Degree  Image Region Contrast Degree  Image Edge Blur Degree  Image Colour Quality Degree  Image Noise Degree  Wavelet Transform Multiscale Retinex  Wt_msr  Multiple Optimal Control Parameter  Mocp  Backpropagation Neural Network  Bpnn   A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Fan XP(范晓鹏);  Cai TF(蔡铁峰);  Zhu F(朱枫) 收藏  |  浏览/下载：35/0  |  提交时间：2013/12/26 The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.