Abstract
Technological developments for several years have resulted in the handling (storing, exchanging or processing) of increasingly important data in various fields and particularly in medical field. In this works we present a new image compression / decompression algorithm based on the quaternion wavelet transform (QWT). This algorithm is simple, fast and efficient. It has been applied to medical images. The results obtained after decompression are appreciated through the compression parameter values of CR, PSNR, and MSE and by visual observation. By the values of these parameters, the results of the algorithm are considered encouraging.
Highlights
Image compression can be defined as reducing the size of an image file, while maintaining an acceptable level of quality
We propose in this work a new image compression algorithm using wavelet transform quaternion
For our work, we present the general compression of the properties of quaternions, the proposed method and tests on medical images, and the presentation and analysis of results
Summary
Image compression can be defined as reducing the size of an image file, while maintaining an acceptable level of quality. It proceeds by reducing data redundancy of an image. This work is mainly aimed at increasing compression rates, improving the quality of the reconstructed signal and reducing the complexity of existing compression algorithms [1]. This remarkable efficiency is essentially due to two properties which are the parsimony of representation and the whitening of data [2]. For our work, we present the general compression of the properties of quaternions, the proposed method and tests on medical images, and the presentation and analysis of results
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