Tarek A. Elarabi, Ahmed Sammoud, A. Abdelgawad, X. Li, M. Bayoumi
{"title":"Hybrid wavelet - DCT intra prediction for H.264/AVC interactive encoder","authors":"Tarek A. Elarabi, Ahmed Sammoud, A. Abdelgawad, X. Li, M. Bayoumi","doi":"10.1109/ChinaSIP.2014.6889248","DOIUrl":null,"url":null,"abstract":"With the growing usage of mobile video applications and Internet based video services; techniques and algorithms of the current video compression standards face new challenging demands for lower bit-rate and faster processing speed. H.264/AVC video compression standard is widely used and provides state of the art video compression solution, but still needs to address the challenges of high bit-rate and required processing power. In this paper, a low bit-rate compression algorithm is proposed, which introduces a novel approach that use both DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform) for enhancing the Intra-Prediction phase of H.264/AVC standard. The proposed Hybrid Wavelet-DCT (HW-DCT) algorithm modifies the FSF (Full Search Free) algorithm; by adding wavelet-based transformation prior to the Intra-prediction process. The HW-DCT algorithm adds up the advantages of wavelet based compression technique to the speed of the FSF algorithm and creates an Intra-prediction algorithm that guarantees 51% lower bit-rate while maintaining similar visual quality and Peak Signal to Noise Ratio (PSNR) of the original H.264/AVC Intra-prediction algorithm. The JM 18.2 Reference software implementation results have validated the effectiveness of our proposed algorithm and shown a significant improvements in both run-time and bit-rate.","PeriodicalId":248977,"journal":{"name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaSIP.2014.6889248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With the growing usage of mobile video applications and Internet based video services; techniques and algorithms of the current video compression standards face new challenging demands for lower bit-rate and faster processing speed. H.264/AVC video compression standard is widely used and provides state of the art video compression solution, but still needs to address the challenges of high bit-rate and required processing power. In this paper, a low bit-rate compression algorithm is proposed, which introduces a novel approach that use both DCT (Discrete Cosine Transform) and DWT (Discrete Wavelet Transform) for enhancing the Intra-Prediction phase of H.264/AVC standard. The proposed Hybrid Wavelet-DCT (HW-DCT) algorithm modifies the FSF (Full Search Free) algorithm; by adding wavelet-based transformation prior to the Intra-prediction process. The HW-DCT algorithm adds up the advantages of wavelet based compression technique to the speed of the FSF algorithm and creates an Intra-prediction algorithm that guarantees 51% lower bit-rate while maintaining similar visual quality and Peak Signal to Noise Ratio (PSNR) of the original H.264/AVC Intra-prediction algorithm. The JM 18.2 Reference software implementation results have validated the effectiveness of our proposed algorithm and shown a significant improvements in both run-time and bit-rate.