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Implementation of LOSSY image compression by discrete wavelet transform

Author Affiliations

  • 1Department of Electronics, MGCGV Chitrakoot, Satna, India
  • 2Department of Science and Environment, MGCGV Chitrakoot Satna, India

Res. J. Engineering Sci., Volume 7, Issue (3), Pages 1-7, March,26 (2018)

Abstract

The discrete wavelet transform (DWT) represents images as a sum of wavelet functions (wavelets) on different resolution levels. The wavelet transform can be composed of any function that satisfies requirements of multiresolution analysis and exists a large selection of wavelet families depending on the choice of wavelet function. The choice of wavelet family depends on the application. In image compression application this choice depends on image type. A fundamental shift in the image compression approach came after the Discrete Wavelet Transform (DWT) is growing fast. In this paper, the design of DWT with new Vedic multiplier is presented in 2d-DWT structure, Digital FIR filter is used to increase the image resolution and remove the unwanted noise present in the image. This research work presents the efficiency of Urdhva Triyagbhyam Vedic method for multiplication which strikes a difference in actual process of multiplication itself. Multiply Accumulate unit (MAC) is a key component in the most of the digital signal processors, in order to make a balance in the key performance characters like speed, power and area, a gate level implementation of the design is adopted in the entire research work.

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