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基于免疫克隆选择的图像压缩算法研究

Research Based on Immune Clonal Selection Algorithm for Image Compression
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摘要 针对在图像压缩过程中压缩质量与压缩时间相互间存在矛盾,文中提出了一种基于免疫克隆选择的图像压缩算法。该算法结合免疫克隆算法的抗体的多样性、全局寻优和小波变换多分辨率分析的特点。在压缩过程中不仅采用了小波分解后的低频分量,还加入了一定的高频部分,使压缩后的图像信噪比更低,从而保证了图像的质量。实验结果表明,所提出的图像压缩方法具有相对较高的压缩比和良好的压缩效果。 Aiming at the contradictions between compression quality and compression time in the process of im- age compression, this paper puts forward a kind of image compression algorithm based on immune clonal selection. The algorithm combines the immune clone algorithm antibody diversity, global optimization features and wavelet multi-resolution analysis features. In the compression process not only uses a wavelet decomposition of the low-frequency component, and also joined with a certain frequency portion of the compressed image signal to noise ratio lower, thus ensuring the quality of the image. The experimental results show that, the proposed image compression method has higher compression ratio and good compression effect.
出处 《电子科技》 2014年第8期170-172,180,共4页 Electronic Science and Technology
关键词 免疫克隆选择 多分辨分析 小波变换 信噪比 immune clonal selection multi-resolution analysis wavelet transform SNR
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