节点文献
基于ROI的可变质量图像压缩算法
Variable Quality Image Compression Method Based on ROI
【摘要】 提出了将双门限、改进嵌入零树小波编码规则、关联模型相结合的基于ROI的可变质量图像压缩思路,该方法利用树状映射策略对图像ROI对应的小波系数进行定位。采用双门限方法提高ROI的重要位平面,由于将ROI的位置信息隐藏在数据结构中而无须对ROI的形状进行编码。实验结果表明提出的算法优于已出现的编码方法,同时能够有效控制ROI图像的质量,也达到了优先传输ROI信息的效果。
【Abstract】 A variable ROI image compression method is presented based on two-threshold,improved EZW coding regulation and relating model, making use of tree maps to locate ROI coefficients and two-threshold to increase the ROI important bitplanes. At the same time no shape information for ROI is included in the code stream. Experiment results show that the method perform better than two known methods.
【关键词】 感兴趣区;
嵌入零树小波;
逐次逼近量化;
【Key words】 Region of interest Embeded zerotree Successive approximation quantization;
【Key words】 Region of interest Embeded zerotree Successive approximation quantization;
- 【文献出处】 仪器仪表学报 ,Chinese Journal of Scientific Instrument , 编辑部邮箱 ,2004年S1期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】79