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	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
	Spatial frequency domain imaging technology based on Fourier single-pixel imaging 期刊论文 OAI收割 JOURNAL OF BIOMEDICAL OPTICS, 2022, 卷号: 27 作者: Ren, Hui M.; Deng, Guoqing; Zhou, Peng; Kang, Xu; Zhang, Yang \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2022/03/21 Fourier single-pixel imaging spatial frequency domain optical properties compressed sensing
	Surveillance video synopsis in the compressed domain for fast video browsing 期刊论文 OAI收割 JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2013, 卷号: 24, 期号: 8, 页码: 1431-1442 作者: Wang, Shi-zheng; Wang, Zhong-yuan; Hu, Rui-min 收藏 \| 浏览/下载：27/0 \| 提交时间：2015/09/23 Surveillance video Compressed domain Video synopsis Video labeling Scalable browsing Fast browsing Background modeling Intelligent video
	A simple and fast moving object segmentation based on H.264 compressed domain information (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Computational and Information Sciences, ICCIS 2012, August 17, 2012 - August 19, 2012, Chongqing, China 作者: Chen X.; Chen X.; Chen X.; Sun L. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 The paper presents a simple and fast approach for moving object segmentation based on H.264 compressed domain information for the application of indoor video surveillance with static camera. Due to the characteristics of indoor video surveillance the proposed method of segmentation avoids complicated background model like Gaussian Mixture background model. On the contrary it chooses some simple information like the type of Macroblock etc.. Experimental results of several specific H.264 compressed video sequences demonstrate the good segmentation quality of the proposed approach. 2012 IEEE.
	Tree Structure Matching Pursuit based on Gaussian Scale Mixtures model 会议论文 OAI收割 Applications of Digital Image Processing Xxxiv Liu, Peng; Liu, Zhiwen; Wei, Jingbo; Liu, Dingsheng 收藏 \| 浏览/下载：27/0 \| 提交时间：2014/12/07 Compressed Sensing Gaussian Scale Mixtures Orthogonal Matching Pursuit SIGNAL RECONSTRUCTION INVERSE PROBLEMS WAVELET-DOMAIN IMAGE
	Wavelet packet and neural network basis medical image compression (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China Zhao X.; Wei J.; Zhai L. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 It is difficult to get high compression ratio and good reconstructed image by conventional methods we give a new method of compression on medical image. It is to decompose and reconstruct the medical image by wavelet packet. Before the construction the image use neural network in place of other coding method to code the coefficients in the wavelet packet domain. By using the Kohonen's neural network algorithm not only for its vector quantization feature but also for its topological property. This property allows an increase of about 80% for the compression rate. Compared to the JPEG standard this compression scheme shows better performances (in terms of PSNR) for compression rates higher than 30. This method can get big compression ratio and perfect PSNR. Results show that the image can be compressed greatly and the original image can be recovered well. In addition the approach can be realized easily by hardware.