一种基于CEMD和融合的多视点图像编码方法
doi: 10.3724/SP.J.1146.2010.00758
A Multi-view Image Coding Scheme Based on CEMD and Fusion
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摘要: 该文提出了一种新的基于相邻视点融合的多视点图像编码方法，通过融合与拆分对非同源图像同时进行编码。编码时，原始图像经过CEMD(Complex Empirical Mode Decomposition)同步分解成2维的固有模态函数和余量图像并分别融合，再对融合图像进行基于EMD的压缩编码。解码时，将融合图像拆分，重构出原始图像。实验结果表明，该方法具有失真度小和压缩比高的优势，具有实践意义。
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关键词:
- 多视点图像编码 /
- 复数经验模态分解(CEMD) /
- 融合 /
- 拆分 /
- 压缩
Abstract: In this paper, a novel fusion based coding scheme of multi-view image is proposed. At the encoder, different sources of images are decomposed into IMFs (Intrinsic Mode Factions) and residue using CEMD (Complex Empirical Mode Decomposition). The IMFs and residue are fused respectively, and the fusion results are compressed and encoded based on EMD. At the decoder, the source images can be reconstructed by disassembling the fusion image. Experimental results show, without reducing quality, the proposed scheme can provide better compression ratio than the previous ones, which open doors for future applications. -
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