MRI Images Compression Using Curvelets Transforms
Mohammed Beladgham, Ismail Boukli Hacene, Abdelmalik Taleb-Ahmed, M Khelif, Hichem Arioui, Rochdi Merzouki, Hadj Ahmed Abbassi · AIP conference proceedings · 2008
In the field of medical diagnostics, interested parties have resorted increasingly to medical imaging, it is well established that the accuracy and completeness of diagnosis are initially connected with the image quality, but the quality of the image is itself dependent on a number of factors including primarily the processing that an image must undergo to enhance its quality. We are interested in MRI medical image compression by Curvelets, of which we have proposed in this paper the compression algorithm FDCT using the wrapping method. In order to enhance the compression algorithm by FDCT, we have compared the results obtained with wavelet and Ridgelet transforms. The results are very satisfactory regarding compression ratio, and the computation time and quality of the compressed image compared to those of traditional methods.