{"title":"FPGA implementation of combined compression & denoising scheme for remote sensing images","authors":"P. Sendamarai, M. N. Giriprasad","doi":"10.1109/RTEICT.2016.7807850","DOIUrl":null,"url":null,"abstract":"Satellite imaging is a powerful approach for the researchers to study about the space information, geo-science and space information exploration. But during transmission satellite images gets corrupted due to the channel noise, wrong ISO settings etc. Satellite images contains huge amount of data which increases the size of image, due to huge size it requires more time for transmission. In this work we overcome these issues by introducing combined scheme for denoising and compression. To perform the denoising we use bilateral filtering scheme and compression-decompression is carried out using lifting based DWT. This architecture is implemented and simulated using XILINX ISE 14.3 simulator. Reduction of the complexity is introduced by using shift-add logic scheme. The proposed architecture operates at a frequency of 163.638MHz, when synthesized for Xilinx Spartan-III seriesfield programmable gate array.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"121 1","pages":"401-404"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTEICT.2016.7807850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Satellite imaging is a powerful approach for the researchers to study about the space information, geo-science and space information exploration. But during transmission satellite images gets corrupted due to the channel noise, wrong ISO settings etc. Satellite images contains huge amount of data which increases the size of image, due to huge size it requires more time for transmission. In this work we overcome these issues by introducing combined scheme for denoising and compression. To perform the denoising we use bilateral filtering scheme and compression-decompression is carried out using lifting based DWT. This architecture is implemented and simulated using XILINX ISE 14.3 simulator. Reduction of the complexity is introduced by using shift-add logic scheme. The proposed architecture operates at a frequency of 163.638MHz, when synthesized for Xilinx Spartan-III seriesfield programmable gate array.
卫星成像是研究空间信息、地球科学和空间信息探索的有力手段。但是在传输过程中,由于信道噪声,错误的ISO设置等,卫星图像会被损坏。卫星图像包含了大量的数据,这增加了图像的大小,由于巨大的尺寸需要更多的时间来传输。在这项工作中,我们通过引入去噪和压缩的组合方案来克服这些问题。为了实现降噪,我们使用双边滤波方案,并使用基于提升的小波变换进行压缩解压。该架构使用XILINX ISE 14.3模拟器实现和模拟。采用移加逻辑方案降低了算法的复杂度。当为Xilinx Spartan-III系列现场可编程门阵列合成时,所提出的架构工作频率为163.638MHz。