@Article{JICS-4-311,
author = {Mohammed Mustafa Siddeq},
title = {Using Shift Number Coding with Wavelet Transform for Image Compression},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {4},
pages = {311--320},
abstract = {This paper introduces an idea for image compression; consist from two parts; the first part used 
single stage Discrete Wavelet Transform (DWT), which produces four sub matrices; LL, HL, LH, and HH. 
The two sub matrices HL and LH are merged to be one matrix "Merged - Matrix", and store non-zero data in 
array "Non-Zero-Array", then compress it by RLE and Arithmetic coding. In the second part the sub-matrix 
LL coefficients converted into data at range {0…80}, LL sub matrix used by Shift Number Coding (SNC), 
this  algorithm  converts  each  four  data  into  single  floating  point  number,  which  stored  in  one  dimensional 
array  "SNC-Array",  finally  apply  arithmetic  coding  on  it.  Our  approach  compared  with  JPEG,  and  JPEG-
2000, by using compression ratio and PSNR.               
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22741.html}
}