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	Orthogonal sparse fractal coding algorithm based on image texture feature 期刊论文 OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1872-1879 作者: Cao, Jian; Zhang, Aihua; Shi, Lei \| 收藏 \| 浏览/下载：224/0 \| 提交时间：2019/10/11 image coding feature extraction fractals data compression image texture image reconstruction orthogonal codes image colour analysis transforms decomposition matrix algebra orthogonal sparse grey level sparse decomposition decoding speed orthogonal sparse fractal coding algorithm image reconstruction quality image texture feature extraction fractal image compression coding algorithm grey description feature extraction orthogonal sparse grey level transform
	An open system design of high speed image transmission (EI CONFERENCE) 会议论文 OAI收割 1st International Symposium on Computer Network and Multimedia Technology, CNMT 2009, December 18, 2009 - December 20, 2009, Wuhan, China 作者: Li S. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 A high speed image transmission system is designed to compress the aerial image improve the speed of image transmission. This paper introduces how PTP (Picture Transfer Protocol) can be extended to work over generic USB interfaces the multi-threaded transfer mode of file stream and the JPEG decoding algorithm self-developed an open system of aerial digital camera image transmission. Experiments show that image transmission with PTP not only guarantees a good image quality and prevents data loss but also fulfill the requirement of aerial camera large image transmission that ensure the advantage of high frame rate. 2009 IEEE.
	Compression of remote sensing image based on Listless Zerotree Coding and DPCM (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Chen S.-L.; Huang L.-Q. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 The data quantity of remote sensing image is very large. Furthermore the lowest frequency subband contains the main energy of original image and reflects the coarse of original image after remote sensing image is transformed by wavelet so it is very important to the reconstructed image. Therefore a hybrid image compression method based on Listless Zerotree Coding (LZC) and DPCM is presented namely the lowest frequency subband is compressed by DPCM and others are compressed by LZC. LZC is a kind of zerotree coding algorithm for hardware implementation which is based on SPIHT and substitutes two significant bit maps for three lists in SPIHT algorithm. Thereby LZC significantly reduces the memory requirement and complexity during encoding and decoding procedure. But LZC doesn't recognize the significance of grandchild sets so the PSNR values of LZC are lower than SPIHT's and the compression speed drops. It is improved by adding a significant bit map that recognizes the significance of grandchild sets. A comparison reveals that the PSNR results of the hybrid compression method are 2 dB higher than those of LZC and the compression speed is also improved.