基于增强小波ECW的遥感图像压缩研究

基于小波变换的图像压缩方法能在高压缩比的前提下保持好的重建图像质量,小波变换的编码技术被广泛地应用于图像的压缩中。但这些传统的小波压缩技术及改进算法,都需要构造复杂的小波基、小波函数,算法复杂,制约了在实际中的广泛应用。而最新发展的增强小波技术较传统的小波技术ECW在压缩率、压缩速度、压缩编码方面均有了新的突破,利用ECW SDK二次开发包,可在应用系统中直接嵌入ECW技术进行遥感影像压缩,避免了传统的小波技术算法复杂等弊端。实践表明该方法是一种有效的、可以在实际中广泛应用的遥感图像压缩方法。

Research on the remote sensing image compression based on ECW technology

Wavelet image compression methods can maintain a high quality image reconstruction under the prerequisite of high compression ratio.And wavelet transformation coding technology is widely used in image compression.But these traditional Wavelet compression techniques and improved algorithms have some disadvantages such as requirement of complex wavelet bases and wavelet function,complex algorithms,which constrains their wider application in practice.Compared with traditional wavelet technology,the latest enhancement Wavelet technology-ECW has some breakthroughs in many aspects such as compression rate,compression speed,and compression coding.With secondary development kit of ECW SDK,remote image compression can be done by directly embedding ECW into applications,which avoids complex algorithms in traditional Wavelet technology.Practice shows that the method is efficient and can be widely applied in actual remote sensing images compression.