机构

• 长春光学精密机械与物... [2]
• 光电技术研究所 [1]
• 自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2023 [1]
• 2020 [1]
• 2018 [1]
• 2015 [1]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5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：20/0  |  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   BM-IQE: An image quality evaluator with block-matching for both real-life scenes and remote sensing scenes 期刊论文  OAI收割 Sensors, 2020, 卷号: 20, 期号: 12, 页码: 1-24 作者:  Huang, Yongmei;  Ren, Guoqiang;  Ma, Dongao;  Xu, Ningshan   |  收藏  |  浏览/下载：56/0  |  提交时间：2021/05/11 imaging performance  blind image quality assessment  block-matching  remote sensing   Optical aberration correction for simple lenses via sparse representation 期刊论文  OAI收割 Optics Communications, 2018, 卷号: 412, 页码: 201-213 作者:  Cui, J. L.;  Huang, W.   |  收藏  |  浏览/下载：20/0  |  提交时间：2019/09/17 Image reconstruction resolution  Blind deconvolution  Nonblind  deconvolution  Digital image processing  Lens system design  single image superresolution  blind deconvolution  quality assessment  dictionary  priors  Optics   Learning to Rank for Blind Image Quality Assessment 期刊论文  OAI收割 ieee transactions on neural networks and learning systems, 2015, 卷号: 26, 期号: 10, 页码: 2275-2290 作者:  Gao, Fei;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong 收藏  |  浏览/下载：27/0  |  提交时间：2015/11/13 Image quality assessment (IQA)  learning preferences  learning to rank  multiple kernel learning (MKL)  universal blind IQA (BIQA)   Analysis and design of No-Reference Image Quality Assessment (EI CONFERENCE) 会议论文  OAI收割 2008 International Conference on MultiMedia and Information Technology, MMIT 2008, December 30, 2008 - December 31, 2008, Three Gorges, China 作者:  Wang L.;  Wang L.;  Wang L. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 No-Reference (NR) Image Quality Assessment (IQA) seeks to assign quality scores that are consistent with human perception but without an explicit comparison with the reference image. Unfortunately  the field of NR IQA has been largely unexplored. The basic problems in NR IQA are discussed in this paper. and several methods used in NR IQA are explained and analyzed. Finally  an overall NR IQA method is designed. It should be a synthetical index  which applying fuzzy measures and fuzzy integrals  incorporating Human Vision System (HVS) characteristics and adhering to the philosophy of quantifying quality through blind distortion measurement. 2008 IEEE.