| 基于第二代Bandelet变换的图像编码 |
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| 引用本文： | 梁锐华,成礼智,朱志诚,陈波. 基于第二代Bandelet变换的图像编码[J]. 现代电子技术, 2007, 30(4): 61-65 |
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| 作者姓名： | 梁锐华 成礼智 朱志诚 陈波 |
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| 作者单位： | 国防科学技术大学,理学院,湖南,长沙,410073 |
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| 基金项目： | 教育部全国优秀博士学位论文作者专项基金;国家自然科学基金 |
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| 摘 要： | Bandelet基函数可以实现几何正则图像的最佳稀疏表示,在图像压缩方面有很大潜力。为了得到更高的压缩比,在第二代Bandelet变换的研究基础上,提出了一种与Bandelet变换相适应的图像编码方案。首先对Bandelet系数采用一致量化,重新组织系数的排布方式,然后设计了一种针对Bandelet系数的上下文模型,进行基于上下文的编码。对低频子带采用CALIC模型进行编码。实验表明,该编码方法对自然图像压缩是有效的,特别是对几何流特征比较明显的图像取得了优于JPEG 2000的结果。
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| 关 键 词： | 几何正则图像 几何流 Bandelet变换 四叉树 上下文模型 |
| 文章编号： | 1004-373X（2007）04-061-05 |
| 收稿时间： | 2006-06-16 |
| 修稿时间： | 2006-06-16 |
Image Coding Based on Second Generation Bandelet Transform |
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| LIANG Ruihua,CHENG Lizhi,ZHU Zhicheng,CHEN Bo. Image Coding Based on Second Generation Bandelet Transform[J]. Modern Electronic Technique, 2007, 30(4): 61-65 |
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| Authors: | LIANG Ruihua CHENG Lizhi ZHU Zhicheng CHEN Bo |
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| Affiliation: | College of Science,National University of Deference Technology,Changsha,410073,China |
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| Abstract: | Bandelet lead to optimal sparse representations for geometrically regular images,and have great potential in imge compression.This paper describes a new image coding strategy based on the second generation Bandelet transform.Bandelet coefficients are first quantized with a nearly uniform quantizer.With the resetting of Bandelet coefficients,a context model of Bandelet coefficients for image compression is proposed,and then a compression scheme is derived.Coefficients of the lowest subband are coded with CALIC model.Experimental results show that the model is effective in image compression.For images with regular geometric flow,the compression scheme achieves higher quality than JPEG-2000. |
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| Keywords: | geometrically regular image geometric flow Bandelet transform quad-tree context model |
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