Open AccessImage Compression Using Tap 9/7 Wavelet Transform and Quadtree Coding Scheme
Author(s) -
Manal F. Younis,
Loay E. George
Publication year - 2011
Publication title -
mağallaẗ baġdād li-l-ʿulūm
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 6
eISSN - 2411-7986
pISSN - 2078-8665
DOI - 10.21123/bsj.8.2.676-683
Subject(s) - quadtree , artificial intelligence , mathematics , discrete wavelet transform , wavelet , wavelet transform , data compression , computer vision , image compression , rgb color model , pattern recognition (psychology) , arithmetic coding , context adaptive binary arithmetic coding , jpeg 2000 , transform coding , computer science , discrete cosine transform , image processing , image (mathematics)
This paper is concerned with the design and implementation of an image compression method based on biorthogonal tap-9/7 discrete wavelet transform (DWT) and quadtree coding method. As a first step the color correlation is handled using YUV color representation instead of RGB. Then, the chromatic sub-bands are downsampled, and the data of each color band is transformed using wavelet transform. The produced wavelet sub-bands are quantized using hierarchal scalar quantization method. The detail quantized coefficient is coded using quadtree coding followed by Lempel-Ziv-Welch (LZW) encoding. While the approximation coefficients are coded using delta coding followed by LZW encoding. The test results indicated that the compression results are comparable to those gained by standard compression schemes.