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  • 标题:Bayer Patterned Image Compression Based on Structure Conversion and APBT
  • 本地全文:下载
  • 作者:Chengyou Wang ; Songzhao Xie ; Xiao Zhou
  • 期刊名称:International Journal of Multimedia and Ubiquitous Engineering
  • 印刷版ISSN:1975-0080
  • 出版年度:2015
  • 卷号:10
  • 期号:2
  • 页码:333-340
  • DOI:10.14257/ijmue.2015.10.2.30
  • 出版社:SERSC
  • 摘要:The color filter array (CFA) captures only one-third of the necessary color intensities and the full color image is generated from the captured data by interpolation. In recent years, the algorithm of Bayer patterned image compression based on "structure conversion" has achieved better image quality. On the basis of previous work, a new algorithm based on the all phase biorthogonal transform (APBT) and all phase IDCT (APIDCT) interpolation is proposed in this paper. Instead of the conventional JPEG compression, APBT is applied to the JPEG image compression (APBT-JPEG), which significantly reduces complex multiplications and makes the quantization table easier. In the interpolation step, APIDCT interpolation method is introduced. Experimental results show that the proposed algorithm outperforms the one based on "structure conversion"; and the APIDCT interpolation performs close to the conventional interpolation methods. Therefore, the algorithm proposed in this paper is more suitable for Bayer image compression.
  • 关键词:Image Compression; All Phase Biorthogonal Transform (APBT); Structure ; Conversion; Color Filter Array (CFA)
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