Remote Sensing Image Compression Analysis Based on Wavelet Transform and Matlab
Weilin Yuan · Geomatics world (Lemmer) · 2013
In this paper,the basic principle of wavelet transform is briefly described,focusing on the influence of decomposition level and threshold of wavelet transform on emulate compression effect of RS images. The RS images are compressed by haar wavelet,db wavelet,sym wavelet,coif wavelet as well as bior wavelet which are provided by MATLAB Wavelet Toolbox.According to the analyzed and compared results,the necessary decomposition level of wavelet transform is supposed to be increased with the multiple of compression.But for the RS images with a certain size besides the chosen compression multiple,when it is increased to a certain level,the effect of compression will keep steadiness.The matching between compression multiple and the decomposition level of wavelet transform is also discussed in detail.On the other hand,the effect of the threshold to the image compression ratio and energy-keeping is studied at the same time.The experimental results and analysis indicate that high compression ratio and high efficiency satisfy the requirement on RS images compression.The result of research provides the theoretical reference of RS images compression using wavelet transform.