A Hybrid Approach of Wavelet Transform Using Lifting Scheme and Discrete Wavelet Transform Technique for Image Processing

  • K. Ramya laxmiEmail author
  • S. Pallavi
  • N. Ramya
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 3)


Now a modern time many area such as company, medical, research and file require large number of image for general-purpose application to solve the complex problem. Image contain more information that require more storage space and transmission bandwidths, so the image compression is required to store only important information and reduce the different types of redundancy of image for storing and transmission in an efficient manner, because uncompressed image required more data storage capacity and transmission time. In the present work the storing space used is very less ecuase it help in reducing the processing time. For image compression, different transform technique is used. Image can be represented as a matrix of pixel values and after compression by applying different method there is no change or little change between pixel values. This present work is uses haar method and Lifting Wavelet Transform for image compression for increase the efficiency of Discrete Wavelet Transform (DWT).


Discrete wavelet transforms (DWT), and lifting wavelet transform (LWT) Adaptive lifting wavelet transform 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of CSESreyas Institute of Engineering and TechnologyNagoleIndia

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