Skip to Main Content
We present a new technique for the compression of remote-sensing hyperspectral images based on wavelet transform and zerotree coding of coefficients. In order to improve encoding efficiency, the image is first segmented in a small number of regions with homogeneous texture. Then, a shape-adaptive wavelet transform is carried out on each region and the resulting coefficients are finally encoded by a shape-adaptive version of SPIHT. Thanks to the segmentation map (sent as a side information) region boundaries are faithfully preserved and selective encoding strategies can be easily implemented. In addition, by-now homogeneous region textures can be more efficiently encoded.
Image Processing, 2004. ICIP '04. 2004 International Conference on (Volume:4 )
Date of Conference: 24-27 Oct. 2004