A reconstruction of original image from destroyed image through Haar wavelet transform

Mousume Samad*, Abdulla Al Suman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)115-118
Number of pages4
JournalInternational Journal of Signal Processing Systems
Issue number2
Publication statusPublished - 2014
Externally publishedYes


  • image compression
  • Haar wavelet transform
  • thresholding
  • lossy compression
  • psycho visual redundancy


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