中国科学院机构知识库网格系统: 检索

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	Row-Column Separated Attention Based Low-Light Image/Video Enhancement 期刊论文 OAI收割 COMPUTER GRAPHICS FORUM, 2024, 页码: 15 作者: Dong, Chengqi; Cao, Zhiyuan; Qi, Tuoshi; Wu, Kexin; Gao, Yixing \| 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/12/06 Low-light image/video enhancement Row-column separated attention Temporal consistency
	High-performance architecture for real-time high-definition short-wave infrared streaming video processing and its field programmable gate array prototype 期刊论文 OAI收割 Optical Engineering, 2024, 卷号: 63, 期号: 2 作者: Zhou, Feng; Chen, Zhiqiang; Xie, Qingsheng; Kong, Fanzi; Chen, Yaohong \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/05/22 high-definition short-wave infrared video processing infrared image enhancement field programmable gate arrays
	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
	An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning 期刊论文 OAI收割 Journal of Marine Science and Engineering, 2022, 卷号: 10, 期号: 2, 页码: 1-35 作者: Hu, Kai; Weng, Chenghang; Zhang, Yanwen; Jin, Junlan; Xia, Qingfeng \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2022/03/07 Deep learning Underwater vision Video/image enhancement
	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
	视频图像质量增强技术研究学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 姚波收藏 \| 浏览/下载：82/0 \| 提交时间：2015/09/02 视频图像增强去雾去抖动 Video and image enhancement Defogging Shaking removal
	A nonlinear image enhancement algorithm based on partial differential equations (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Han X.; Jian Z. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 Image enhancement and image de-noising have being the important research contents of image academic and engineering field and the partial differential equations have been widely applied to computer vision. The paper applies the thoughts of partial differential equations puts forward a new improved method of image enhancement. This method can enhance not only the dark images but also the bright images making the details hidden in the dark background and the bright background very clear. The application scope is wider and the visual effect is better. This paper uses the finite difference method to discrete the partial differential equations and combines with the heat equation. It calculates simple runs fast and provides a guarantee for real-time video image enhancement processing. 2010 IEEE.
	Driving and image enhancement for CCD sensing image system (EI CONFERENCE) 会议论文 OAI收割 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, July 9, 2010 - July 11, 2010, Chengdu, China Zhang M.; Ren J. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 The paper designs a driving circuit of high sensitive wide dynamic for CCD sensing imaging system which adopts a Dalsa-made high resolution full-frame 33-mega pixels area CCD FTF5066M. Field Programmable Gate Array (FPGA) is used as the main device to accomplish the timing design of the circuits and power driver control of the sensor. By using the Correlated Double Sampling (CDS) technique the video noise is reduced and the SNR of the system is increased. The output rate of the imaging system designed with integrated chip can reach to 1.3 frames per second through bi-channel output. We use the histogram specification to adjust the brightness of the captured image. And then use the median filtering to suppress the noise. The traditional gray mean gradient (GMG) and the objective evaluation method based on Human Visual System (HVS) used to verify the effect of image enhancement. 2010 IEEE.