T. Arjun, Pranose J. Edavoor, S. Raveendran, K. P. Sumesh, Y. Nithin Kumar, M. H. Vasantha, Dheeraj Sharma
{"title":"Verilog implementation of adaptive compression of RGB images at low bit rates","authors":"T. Arjun, Pranose J. Edavoor, S. Raveendran, K. P. Sumesh, Y. Nithin Kumar, M. H. Vasantha, Dheeraj Sharma","doi":"10.1109/PRIMEASIA.2015.7450484","DOIUrl":null,"url":null,"abstract":"To meet the ever increasing demand for transferring image and video data in present day communication system without compromising the speed, either the channel bandwidth has to be increased or the total data traffic has to be decreased. As small screen devices and chat applications do not need original quality images to be reconstructed, certain relaxation on the quality of image is allowed if the total data traffic can be reduced to a great extent. Due to this reducing the size of the image to be sent by transforming it to a sparse domain, followed by decoding to retain the required quality has emerged as a solution. Verilog implementation of the proposed algorithm gives permission to the user to set the quality of the image to be reconstructed (by defining PSNR value) and allows the user to set the required compression by assigning the value of bits per pixel(bpp).","PeriodicalId":137621,"journal":{"name":"2015 IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRIMEASIA.2015.7450484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
To meet the ever increasing demand for transferring image and video data in present day communication system without compromising the speed, either the channel bandwidth has to be increased or the total data traffic has to be decreased. As small screen devices and chat applications do not need original quality images to be reconstructed, certain relaxation on the quality of image is allowed if the total data traffic can be reduced to a great extent. Due to this reducing the size of the image to be sent by transforming it to a sparse domain, followed by decoding to retain the required quality has emerged as a solution. Verilog implementation of the proposed algorithm gives permission to the user to set the quality of the image to be reconstructed (by defining PSNR value) and allows the user to set the required compression by assigning the value of bits per pixel(bpp).