Zheng-Teng Zhang, Ruidong Fang, Jucai Lin, Jun Yin, Xingming Zhang
{"title":"A Novel Rate Control Method for Still Image Coding","authors":"Zheng-Teng Zhang, Ruidong Fang, Jucai Lin, Jun Yin, Xingming Zhang","doi":"10.1109/ICCC47050.2019.9064247","DOIUrl":null,"url":null,"abstract":"The still image coding encoders, such as JPEG image and intra frame in video coding, are highly required a specific frame size control method to support the various application. In this paper, a novel rate control method is proposed to control the frame size for different still image encoders. The gradient-based complexity is considered to construct a general Rate-Quantization (R-Q) model at block level. Then the specific quantization parameters (QP) can be generated for a single frame/image encoding with the R-Q model. Experimental results show that the proposed method achieves up to 94.5% and 99.75% bit match accuracy on JPEG encoder and x264 encoder, respectively.","PeriodicalId":6739,"journal":{"name":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","volume":"35 1","pages":"1777-1781"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 5th International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCC47050.2019.9064247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The still image coding encoders, such as JPEG image and intra frame in video coding, are highly required a specific frame size control method to support the various application. In this paper, a novel rate control method is proposed to control the frame size for different still image encoders. The gradient-based complexity is considered to construct a general Rate-Quantization (R-Q) model at block level. Then the specific quantization parameters (QP) can be generated for a single frame/image encoding with the R-Q model. Experimental results show that the proposed method achieves up to 94.5% and 99.75% bit match accuracy on JPEG encoder and x264 encoder, respectively.
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