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计算机工程 ›› 2008, Vol. 34 ›› Issue (10): 178-180. doi: 10.3969/j.issn.1000-3428.2008.10.065

• 人工智能及识别技术 • 上一篇    下一篇

基于自适应提升格式小波变换的图像压缩研究

王金宝,王凤妮   

  1. (西安陆军学院信息化研究试验室,西安 710108)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-05-20 发布日期:2008-05-20

Research on Image Compression Based on Adaptive Lifting Scheme Wavelet Transform

WANG Jin-bao, WANG Feng-ni   

  1. (Informatization Research Lab, Xi’an Military Academy, Xi’an 710108)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-05-20 Published:2008-05-20

摘要: 为了减小提升格式小波变换中的误差、提高图像的压缩效果,提出基于自适应提升格式小波变换实现图像压缩的新方法。在自适应提升小波变换时,通过梯度法构造决策函数来调整更新算子和预测算子并获取最优的小波基函数,在系数量化时运用整数量化方法。实验结果显示该方法具有较好的压缩效果。

关键词: 图像压缩, 小波变换, 提升格式, 自适应小波

Abstract: In order to reduce the error and improve the image visual quality in the wavelet transform process, a new method based on adaptive lifting scheme wavelet transform is presented. The gradient information is introduced to construct the decision-making function so as to gain the update and prediction operator due to grasp the optimized wavelet base. The integer quantization method is adopt in the adaptive lifting scheme wavelet transform, and experimental result shows that the proposed method is effective.


Key words: image compression, wavelet transform, lifting scheme, adaptive wavelet

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