Cheng-Chen Lin, Y. Hwang, Kwan-Hsun Tseng, Shao-Wen Chen
{"title":"Wavelet Based Lossless Video Compression Using Motion Compensated Temporal Filtering","authors":"Cheng-Chen Lin, Y. Hwang, Kwan-Hsun Tseng, Shao-Wen Chen","doi":"10.1109/SIPS.2007.4387632","DOIUrl":null,"url":null,"abstract":"In the paper we propose a new lossless video coding system utilizing both Motion Compensated Temporal Filtering (MCTF) and integer wavelet transform techniques to explore data redundancy in both spatial and temporal domain, respectively. We elaborate the design issues such MCTF scheme, filter selection, group of picture size, wavelet coefficient coding, and develop an efficient coding system. Simulation results show that the proposed system using 1/3 filter has the best coding performance. The bit rate saving is over 20% compared with lossless still image coder such as JPEG-LS. The saving is also around 10% when compared with other wavelet based lossless video coder.","PeriodicalId":93225,"journal":{"name":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","volume":"12 1","pages":"686-691"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE Workshop on Signal Processing Systems (2007-2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPS.2007.4387632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the paper we propose a new lossless video coding system utilizing both Motion Compensated Temporal Filtering (MCTF) and integer wavelet transform techniques to explore data redundancy in both spatial and temporal domain, respectively. We elaborate the design issues such MCTF scheme, filter selection, group of picture size, wavelet coefficient coding, and develop an efficient coding system. Simulation results show that the proposed system using 1/3 filter has the best coding performance. The bit rate saving is over 20% compared with lossless still image coder such as JPEG-LS. The saving is also around 10% when compared with other wavelet based lossless video coder.