Open AccessBit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression
Author(s) -
Rana Talib Al-Timimi
Publication year - 2019
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.152
H-Index - 4
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2019.60.11.22
Subject(s) - lossless compression , image compression , slicing , wavelet transform , compression (physics) , texture compression , wavelet , algorithm , computer science , data compression , plane (geometry) , mathematics , computer vision , artificial intelligence , image (mathematics) , image processing , computer graphics (images) , materials science , geometry , composite material
This paper introduced a hybrid technique for lossless image compression of natural and medical images; it is based on integrating the bit plane slicing and Wavelet transform along with a mixed polynomial of linear and non linear base. The experiments showed high compression performance with fully grunted reconstruction.