{"title":"Integer division for quantization of wavelet-transformed images, using field programmable gate arrays","authors":"W.F. Turri, W. Smari, F.A. Scarpino","doi":"10.1109/MWSCAS.2001.986143","DOIUrl":null,"url":null,"abstract":"Integer-based wavelet transforms present advantages in image compression such as computational speed, simplicity, and reconstructed image quality. The nature of wavelet decomposition allows high compression ratios to be achieved through efficient methods of encoding. The work presented here describes an efficient hardware implementation of a simple integer-division algorithm for the quantization of image data using FPGAs. In addition, this paper presents an overview of the use of wavelet analysis and wavelet transforms, specifically the Haar wavelet transform, in real-time image compression.","PeriodicalId":403026,"journal":{"name":"Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 44th IEEE 2001 Midwest Symposium on Circuits and Systems. MWSCAS 2001 (Cat. No.01CH37257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS.2001.986143","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
Integer-based wavelet transforms present advantages in image compression such as computational speed, simplicity, and reconstructed image quality. The nature of wavelet decomposition allows high compression ratios to be achieved through efficient methods of encoding. The work presented here describes an efficient hardware implementation of a simple integer-division algorithm for the quantization of image data using FPGAs. In addition, this paper presents an overview of the use of wavelet analysis and wavelet transforms, specifically the Haar wavelet transform, in real-time image compression.