Weighted Transformation and Wavelet Transforms-Based Image Resolution and Contrast Enhancement

  • N. Prasanthi Kumari
  • T. V. Hyma Laksmi
  • D. Bhavani
  • G. Mohana Durga
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


Proposed weighted transformation and wavelet transforms-based image resolution and contrast enhancement can be described in two phases. In first phase, input low-resolution image is resolution-enhanced using lifting–stationary wavelet transforms. In this process, input image is decomposed into low-frequency and high-frequency components using lifting and stationary wavelet transforms, and high-frequency components are bi-cubic interpolated to improve the resolution. Finally, inverse lifting wavelet transform is applied to get the high-resolution image. In second phase, resolution-enhanced image is applied to contrast enhancement using weighted transformation function which is obtained from adaptive histograms and mean values from similarities and dissimilarities. Proposed method shows the superiority in experimental results in both quantitatively and visually. Proposed methods are compared with the existing and method with mean square error, Peak signal to noise ratio, noise estimation and entropy and also with visual results.


Lifting wavelet transform Stationary wavelet transform Weighted transformation functions Peak signal to noise ratio 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • N. Prasanthi Kumari
    • 1
  • T. V. Hyma Laksmi
    • 2
  • D. Bhavani
    • 2
  • G. Mohana Durga
    • 2
  1. 1.ECE DepartmentCOES, UPESDehradunIndia
  2. 2.ECE DepartmentS.R.K.R. Engineering CollegeBhimavaramIndia

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