Haar Wavelet Based Joint Compression Method Using Adaptive Fractal Image Compression

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3

Abstract

Abstract: We are introducing the discrete wavelet transform based joint methodology with the existing Adaptive Fractal Image Compression technique. By developing this method we will get the better quality of the image w.r.t peak signal to noise ratio and improvement in the compression ratio. As we have previous FIC methods in usage we are going to compare our results with them sequentially by applying image metrics to show quality of the decompressed image after reconstruction. In this thesis, five methods have been proposed to: reduce the long time of the FIC and Haar waveletincrease the compression ratio and keep the reconstructed image quality. The five methods are:1- Discrete Wavelet Transform Adaptive Fractal Image Compression DWT+AFIC, 2- The Adaptive Fractal Image Compression AFIC method.3- The ZM-RDE method, 4- Reducing the Domain Image Size (RDIZ) method, 5- The Range Exclusion (RE) method.

Authors and Affiliations

Ali Ibrahim Khaleel , N. Anupama

Keywords

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  • EP ID EP164510
  • DOI -
  • Views 101
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How To Cite

Ali Ibrahim Khaleel, N. Anupama (2016). Haar Wavelet Based Joint Compression Method Using Adaptive Fractal Image Compression. IOSR Journals (IOSR Journal of Computer Engineering), 18(3), 69-73. https://europub.co.uk/articles/-A-164510