Image enhancement technique using lifting and stationary wavelet transforms and contrast limited adaptive histogram equalization

  • Authors

    • T. V. Hyma Lakshmi K L University
    • T Madhu SIET
    • K. Ch. Sri Kavya KL UNIVERSITY
    2019-07-14
    https://doi.org/10.14419/ijet.v7i4.16833
  • Contrast Limited Adaptive Histogram Equalization (CLAHE), Lifting Wavelet Transform (LWT), Stationary Wavelet Transform (SWT), Bi-Cubic Interpolation, Peak Signal to Noise Ratio (PSNR), Weighted Average.

  • Abstract

    This paper presents a new image enhancement technique which includes both resolution enhancement and contrast enhancement. In this proposed method Stationary Wavelet Transform (SWT) is used in combination with Lifting Wavelet Transform (LWT) for resolution enhancement and SWT with the combination of Contrast limited adaptive histogram equalization (CLAHE) for contrast enhancement. SWT is used in combination with LWT improves the resolution and also minimize the execution time drastically than existing methods and SWT is used in combination with CLAHE to enhance the contrast and mitigate the noise effects than existing methods. The proposed method gives superior results than existing techniques and it is proved with PSNR, Noise Estimation and RMSE and visual results.

     

     

  • References

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  • How to Cite

    V. Hyma Lakshmi, T., Madhu, T., & Ch. Sri Kavya, K. (2019). Image enhancement technique using lifting and stationary wavelet transforms and contrast limited adaptive histogram equalization. International Journal of Engineering & Technology, 7(4), 6711-6714. https://doi.org/10.14419/ijet.v7i4.16833

    Received date: 2018-08-04

    Accepted date: 2018-10-06

    Published date: 2019-07-14