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A Reconstruction of Original Image from Destroyed Image through Haar Wavelet Transform

Mousume Samad and Abdulla Al Suman
Department of Electronics and Telecommunication Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh
Abstract—This paper deals with the analysis of image compression using Haar wavelet transform. The paper covers some background of Haar wavelet analysis to decompose image, thresholding in wavelet for image compression and how wavelet is used for image reconstruction. An investigation into the process and problems involved with image compression has made and the results of this investigation are discussed. It is possible to process the image within the security concern that have been also discussed and implemented. This paper has been analyzed based on the compressed image and the pixel position of the original image. In spite of lossy compression after reconstruction there is no psycho visual redundancy. This paper proposes a simple but efficient calculation schema for 2D-Haar wavelet transformation in image compression. The proposed work is aimed at developing computationally efficient and effective algorithms for lossy image compression using wavelet techniques.
Index Terms—image compression, haar wavelet transform, thresholding, lossy compression, psycho visual redundancy

Cite: Mousume Samad and Abdulla Al Suman, "A Reconstruction of Original Image from Destroyed Image through Haar Wavelet Transform," International Journal of Signal Processing Systems, Vol. 2, No. 2, pp. 115-118, December 2014. doi: 10.12720/ijsps.2.2.115-118
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