文章基本信息

标题：ブロック適応予測を用いたBayer配列カラー静止画像の可逆符号化
本地全文：下载
作者：阿部利之 ; 松田一朗 ; 伊東晋等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2008
卷号：62
期号：11
页码：1840-1843
DOI：10.3169/itej.62.1840
出版社：The Institute of Image Information and Television Engineers
摘要：A novel lossless coding scheme for images captured with the Bayer color filter array (CFA), which is widely employed for color digital cameras having a single image sensor, is proposed. The scheme uses a block-adaptive prediction method to exploit spatial and spectral correlations in local areas containing different color signals. To allow adaptive prediction suitable for the respective color signals, four kinds of liner predictors that correspond to 2 × 2 samples of the Bayer CFA are simultaneously switched block-by-block. Experimental results show that the proposed scheme attains 9--15% better coding efficiency than the JPEG 2000-based lossless coding scheme.
关键词：Bayer配列;可逆符号化;ブロック適応予測;算術符号