Scaling Function Based Analysis of Symlet and Coiflet Transform for CT Lung Images

  • S. Lalitha Kumari
  • R. PandianEmail author
  • R. Raja Kumar
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)


The main aim of the work is to develop image compression algorithms with high quality and compression ratio. The objective also includes finding out anbest algorithm for medical image compression techniques. The objective is also alert towards the choice of the developed image compression algorithm, which do not modify the characterization behavior of the image. In this paper, image compression algorithm based on discrete symlet and coifletwavelet transform is implemented for decomposing the image. The selection of different levels are discussed dependence on the values of peak signal to noise ratio (PSNR), compression ratio (CR), means square error (MSE) and bits per pixel (BPP). The optimum moments for compression are also chosen based on the results.


Wavelet transforms Symlets Coiflets EZW SPIHT and STW 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Sathyabama Institute of Science and TechnologyChennaiIndia
  2. 2.Mathematics DepartmentSathyabama Institute of Science and TechnologyChennaiIndia

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