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Discrete Wavelet Transform Based VLSI Architecture for Image Compression– A Survey

Nandeesha R.*, Somasekar K.**

* Assistant Professor, Department of Electronics and Communication Engineering, Government Engineering College, K.R.Pet., Mandya, India.

** Professor, Department of Electronics and Communication Engineering, SJB Institute of Technology, Bengaluru, India.

Periodicity:April - June'2018
DOI : https://doi.org/10.26634/jip.5.2.14606

Abstract

In this paper, various types of VLSI architectures for image compression using Discrete Wavelet Transform (DWT) were reviewed. Images are the most convenient way of transmitting information. Compression is done to reduce the redundancy of the image and to store or transmit the data in an efficient manner. The DWT is popularly used due to its perfect reconstruction, multiresolution, and scaling property. The different architectures for convolution and lifting based schemes that are very much essential to design a new efficient hardware architecture for image compression are discussed. The DWT is the mathematical tool of choice, when digital images are to be viewed or processed at multiple resolutions. The signal compression and processing applications using wavelet based coding are of major concern.

Keywords

DWT, Image Compression, VLSI Design, Convolution, Lifting.

How to Cite this Article?

Nandeesha,R .,and Somashekar, K.(2018). Discrete Wavelet Transform Based VLSI Architecture for Image Compression – A Survey. i-manager’s Journal on Image Processing , 5(2),23-30. https://doi.org/10.26634/jip.5.2.14606

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