Open AccessCompression of medical images by quaternionic wavelet transform
Author(s) -
Bertrand Ledoux Ebassa Eloundou,
Aimé Joseph Oyobé Okassa,
Hervé Ndongo Abena,
Pierre Ele
Publication year - 2021
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v10i2.31524
Subject(s) - quaternion , wavelet transform , image compression , compression (physics) , computer science , data compression , computer vision , artificial intelligence , decompression , field (mathematics) , wavelet , lifting scheme , algorithm , simple (philosophy) , image (mathematics) , discrete wavelet transform , image processing , mathematics , medicine , surgery , philosophy , materials science , geometry , epistemology , composite material , pure mathematics
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.