Application of WDR Technique with different Wavelet Codecs for Image Compression


  • Faisel Ghazi Mohammed Department of Remote Sensing and Geographic Information's, College of science, University of Baghdad, Baghdad, Iraq
  • Hind Moutaz Al-Dabbas Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq


Wavelet Image Compression, CR, PSNR, MSE, WDR


     Storing and transferring the images data are raised in recent years due to requisiteness of transmission bandwidth for considerable storage capacity. Data compression method is proposed and applied in an attempt to convert data files into smaller files. The proposed and applied method is based on the Wavelet Difference Reduction (WDR) as considered the most efficient image coding method in recent years. Compression are done for three different Wavelet based Image techniques using WDR process. These techniques are implemented with different types of wavelet codecs. These are Daub2+2,2 Integer Wavelet transform, Daub5/3 integer to integer wavelet transform, and Daub9/7 Wavelet transform with level four. The used multimedia files are gray and color (Bmp) files of dimensions (512×512). The quality of the reconstructed images is calculated by using three performance parameters: Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) values. The experiments of comparing the compression outputs of both JPEG and JPEG2000 Standard are done. The results indicate that Daubechies9/7 wavelet filter give better results than other filters. And all the results are closer to the JPEG standard with good correlation.


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How to Cite

Mohammed, F. G., & Al-Dabbas, H. M. (2018). Application of WDR Technique with different Wavelet Codecs for Image Compression. Iraqi Journal of Science, 59(4B), 2128–2134. Retrieved from



Computer Science

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