节点文献
基于最优基小波包的植物病害图像压缩算法
Compression Algorithm for Plant Disease Image Based on Best Basis of Wavelet Packets
【摘要】 针对现代温室中由于植物病害图像数据量庞大而产生的远程传输负荷过大等问题,分析了植物病害图像存在的数据冗余、视觉冗余等特性,提出了基于最优基小波包的压缩算法。简要介绍了小波包的构造方法及其压缩的基本原理,重点阐述了最优基的构建及病害图像压缩算法实现方法,并与小波变换的压缩方法进行比较。仿真试验表明:提出的算法在保证图像质量的同时能够有效的提高图像压缩性能。
【Abstract】 To solve the long-distance transmission load problems caused by enormous image data in modern greenhouse,the redundancy of data and vision existed in disease image were analysed.Accordingly,the compression algorithm based on best basis of wavelet packets was proposed.The construction of wavelet packets and the corresponding image compression theory were introduced briefly.The best basis was adopted to compress the plant disease image,which compared with the compression algorithm based on wavelet transform.Simulation experiment showed the compression algorithm proposed in the paper could improve the compressibility of plant diseasd image and acquire better image quality as well.
【Key words】 wavelet packets; image compression; peak value SNR; cost function; best basis;
- 【文献出处】 沈阳农业大学学报 ,Journal of Shenyang Agricultural University , 编辑部邮箱 ,2006年03期
- 【分类号】TP391.41
- 【被引频次】7
- 【下载频次】82