文章基本信息

标题：Comparison of Interpolation Methods in Bayer CFA Image Compression Based on Structure Separation and APBT-JPEG
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作者：Chengyou Wang ; Baochen Jiang ; Hao Yuan 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2014
卷号：7
期号：1
页码：87-98
DOI：10.14257/ijsip.2014.7.1.09
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 separation" has achieved better image quality. On the basis of previous work, the algorithm based on the all phase biorthogonal transform (APBT) and interpolation is proposed in this paper. Instead of the conventional DCT-JPEG, the APBT-JPEG significantly reduces complex multiplications and makes the quantization table easier. Several kinds of interpolation methods to the decompressed image data are also discussed in this paper, including nearest neighbor interpolation, bilinear interpolation, cubic convolution interpolation and a novel interpolation method based on APIDCT. Experimental results show that the proposed algorithm outperforms the one based on "structure separation"; and the APIDCT interpolation performs close to the conventional interpolation methods and behaves better than them at high bit rates.
关键词：image compression; image interpolation; color filter array (CFA); all phase ; biorthogonal transform (APBT); JPEG