3d Wavelet Compression to Multiple Band Remote Sensing Images Based on Edge Reservation

In this paper, a practical quasi-lossless compression concept and corresponding compression ratio and quality requirements are proposed for the multiple band images database construction and web release application. The physical therapy of 3D wavelet analysis to the multiple band images data compression is discussed and the fast 3D wavelet transformation model and algorithm to the multiple band images is designed. The proposed algorithm is fully exploit the spectral and spatial correlation in the data. To adopt to the local edge characteristics of multispectrum image, the 3D wavelet multiple band images compression technique route is proposed based on the contour and edge feature of the multiple band images in the same region. And the remove correlation method of the multiple band images contour feature keeping using 3D wavelet analysis and relative quantification coding methods to different wavelet coefficient based on edge preservation is presented to code the multiple band images. The compression and reconstruction experiment results to the 16-band images of the imaging spectrum sensor and the 36-band MODIS images can obtain compression ratio over than 16 with PSNR to 42 and reach the quasi-lossless requirements, which show that this compression technique can improve the quality of reconstruction images to the requirement of quasi-lossless with the high compression ratio. * Corresponding author: Tel.:0086-27-87686512; Fax: 0086-27-87882661; Email: [email protected]