Fractal Compression Method Of Multispectral Remote Sensing Image Based On Contourlet Transform And PSO

Multispectral remote sensing images have wide potential application, including aerospace, mineral exploration, environment monitoring, etc. As 3-D images, multispectral remote sensing images provide more precise spectral information of landmark, but results in large size data sizes. The storage and transmission of large volumes of multispectral data have become significant concerns. Therefore the research on compression methods of multispectral remote sensing images is very important and practical. This thesis contributes to research compression methods of the multispectral remote sensing images based on contourlet transform, fractal compression and PSO. The thesis mainly includes the following aspects.Firstly, the image fractal compression algorithm based on PSO and K-means is introduced. Then the algorithm based on contourlet transform, IPSO and K-means is realized. By classifying the contourlet coefficients, the experimental results show that, the realized algorithms can get better quality of image with the same compression ratio.Then, by decomposing the multispectral remote sensing image based on contourlet transform in the dimensional domain, the Krawtchouk moments and FCM is used in fractal compression. The multispectral image fractal compression algorithm based on Krawtchouk moments is introduced. Then the algorithm based on Krawtchouk moments, FCM and contourlet transform is realized. By classifying the range and domain blocks, the presented algorithms can reach higher PSNR and compression ratio.Next, to reach the better quality of reconstructed image, the algorithm of multispectral image fractal compression based on KFCM is presented. Then the method based on mtsPSO and KFCM is realized. Experimental results show that compared to the method based on wavelet transform and fractal compression, the introduced algorithms can reduce encoding time efficiently and reach better quality of image.Finally, SVR is used to approximate the contourlet coefficients and fractal codes. Then the SVM parameters are optimized by PSO. The multispectral remote sensing image fractal compression method based on SVR and contourlet transform is proposed. The experimental results show that, compared to the method based on SVM, the realized method can reach higher PSNR in similar compression ratio.