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Research Journal of Pharmacy and Technology
Year : 2020, Volume : 13, Issue : 1
First page : ( 60) Last page : ( 62)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2020.00010.4

Performance of Discrete Meyer wavelet Transform on Encoding Levels using Computed Tomography Lung Image

Pandian R.*, Kumari S. Lalitha**, Kumar R Raja

Associate Professor, Department of EIE, Sathyabama Institute of Science and Technology, Chennai

*Corresponding Author E-mail: rpandianme@rediffmail.com

**lalithavengat@gmail.com

Online published on 24 February, 2020.

Abstract

The image transmits and storage capability could be a broad appliance in compression. Image compression techniques engage the appropriate and successful transforms and encoding methods to attain the aim. In this work, discrete Meyer transform based image compression algorithm is used for decomposing the image. The effects of different Encoder loops are described based on the values of peak signal to noise ratio (PSNR), compression ratio (CR), means square error (MSE) and bits per pixel (BPP). The finest encoding loop level for compression is also found based on the results.

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Keywords

Transform, Encoder, PSNR, CR, BPP and MSE.

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