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	Robust Adversarial Watermark Defending Against GAN Synthesization Attack 期刊论文 OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 351-355 作者: Xu, Shengwang; Qiao, Tong; Xu, Ming; Wang, Wei; Zheng, Ning \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2024/07/03 Watermarking Transform coding Generative adversarial networks Forgery Image coding Discrete cosine transforms Decoding GAN synthesized image adversarial watermark JPEG compression
	一种支持密文转码的JPEG2000图像加密算法期刊论文 OAI收割计算机科学, 2014, 卷号: 41, 期号: 6, 页码: 84-88,93 傅勇; 易小伟; 马恒太 \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2014/12/16 图像加密 JPEG2000压缩安全转码 Image encryption JPEG2000 compression Secure transcoding
	No-reference perceptual image quality metric using gradient profiles for jpeg2000 期刊论文 iSwitch采集 Signal processing-image communication, 2010, 卷号: 25, 期号: 7, 页码: 502-516 作者: Liang, Luhong; Wang, Shiqi; Chen, Jianhua; Ma, Siwei; Zhao, Debin 收藏 \| 浏览/下载：42/0 \| 提交时间：2019/05/10 Blur Ringing Perceptual quality Gradient profile Image compression Jpeg2000
	No-reference perceptual image quality metric using gradient profiles for JPEG2000 期刊论文 OAI收割 SIGNAL PROCESSING-IMAGE COMMUNICATION, 2010, 卷号: 25, 期号: 7, 页码: 502-516 作者: Liang, Luhong; Wang, Shiqi; Chen, Jianhua; Ma, Siwei; Zhao, Debin \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2019/12/16 Blur Ringing Perceptual quality Gradient profile Image compression JPEG2000
	Design of multispectral remote sensing image compression system (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China 作者: Xu S.-Y. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In order to get the higher compression quality of multispectral remote sensing image which taken the JPEG2000 as the standard used FPGA and special compression chip ADV212 to realize the remote sensing image compression system is proposed. The system used the specialty compression chip ADV212 which is newly relaesed by Analog Device company. It used to develop fast high-quality compression for the large amount of remote sensing image data. The system realized the image data's input the compression stream's output the image preprocessing as well as to control the ADV212 chip's working pattern through FPGA. The experiment result shows that this system which has such characteristics as low power consumption. low cost and easy adjustmen and has a good compressing effect. Meet the requirement of the multispectral remote sensing image's high compression ratio. 2010 IEEE.
	detecting double jpeg compression with the same quantization matrix 期刊论文 OAI收割 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2010, 卷号: 5, 期号: 4, 页码: 848-856 Huang Fangjun; Huang Jiwu; Shi Yun Qing \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2011/05/23 Digital forensic double joint photographic experts group (JPEG) compression quantization matrix
	Storage and compression design of high speed CCD (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China Cai X.; Zhai L. P. 收藏 \| 浏览/下载：58/0 \| 提交时间：2013/03/25 In current field of CCD measurement large area and high resolution CCD is used to obtain big measurement image so that speed and capacity of CCD requires high performance of later storage and process system. The paper discusses how to use SCSI hard disk to construct storage system and use DSPs and FPGA to realize image compression. As for storage subsystem Because CCD is divided into multiplex output SCSI array is used in RAID0 way. The storage system is composed of high speed buffer DMA controller control MCU SCSI protocol controller and SCSI hard disk. As for compression subsystem according to requirement of communication and monitor system the output is fixed resolution image and analog PAL signal. The compression means is JPEG2000 standard in which 9/7 wavelets in lifting format is used. 2 DSPs and FPGA are used to compose parallel compression system. The system is composed of FPGA pre-processing module DSP compression module video decoder module data buffer module and communication module. Firstly discrete wavelet transform and quantization is realized in FPGA. Secondly entropy coding and stream adaption is realized in DSPs. Last analog PAL signal is output by Video decoder. Data buffer is realized in synchronous dual-port RAM and state of subsystem is transfer to controller. Through subjective and objective evaluation the storage and compression system satisfies the requirement of system. 2009 SPIE.
	Study of unequal error protection method based on JPEG2000 for surveyingmapping image (EI CONFERENCE) 会议论文 OAI收割 International Conference on Computer Science and Software Engineering, CSSE 2008, December 12, 2008 - December 14, 2008, Wuhan, Hubei, China Yao Q.; Cao M. 收藏 \| 浏览/下载：167/0 \| 提交时间：2013/03/25 On aviation mapping compression image maybe not decode because of wireless transmission interference. UEP(Unequal Error Protection) scheme is put forward about layer and block structure of JPEG2000 image compression method flexibly enhances local reconfigurable image's quality which is in favor of identifier in the region of interest. 2008 IEEE. and realizes three degrees UEP of data block data header image data via various degrees correction-coding under the condition of obstruct naked and shade. BCH RS and Hamming coding are simulated and image decoding success rate and image's quality are analyzed according to different coding and ROI (Region of Interest) in the Gaussian white noise model and rayleigh fading model. Results shows that the method we putted forward roughly improves decoding success rate at the same time almost not increasing bandwidth
	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：21/0 \| 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.