Open AccessLossless 4D Medical Images Compression Using Adaptive Inter Slices Filtering
Author(s) -
Leila Belhadef,
Zoulikha Mekkakia Maaza
Publication year - 2018
Publication title -
international journal of advances in applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2722-2594
pISSN - 2252-8814
DOI - 10.11591/ijaas.v7.i4.pp361-368
Subject(s) - lossless compression , computer vision , computer science , artificial intelligence , motion compensation , compression (physics) , data compression , image compression , wavelet transform , context (archaeology) , compensation (psychology) , data compression ratio , wavelet , image (mathematics) , image processing , materials science , geology , psychology , paleontology , psychoanalysis , composite material
Recent lossless 4D medical images compression works are based on the application of techniques originated from video compression to efficiently eliminate redundancies in different dimensions of image. In this context we present a new approach of lossless 4D medical images compression which consists to application of 2D wavelet transform in spatial directions followed or not by either lifting transform or motion compensation in inter slices direction, the obtained slices are coded by 3D SPIHT. Our approach was compared with 3D SPIHT with/without motion compensation. The results show our approach offers better performance in lossless compression rate.