A Survey on Multi-resolution Methods for De-noising Medical Images

  • G. Bharath
  • A. E. Manjunath
  • K. S. SwarnalathaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 906)


Processing of medical images is important to improve their visibility and quality to facilitate computer-aided analysis and diagnosis in medical science. Such images are usually tainted by noise due to impediments in image capturing devices, unsupportive environment or during transmission over the network. Multi-resolution is a profound technique for decomposing the images into multiple scales and is widely used for image analysis in detail. This paper describes various multi-resolution techniques such as discrete wavelet transform, multi-wavelet transform, and Laplacian pyramid to reduce a wide variety of noise in images. Also, an image de-noising algorithm based on multi-resolution analysis for noise reduction has been described.


Multi-resolution Image de-noising Wavelet transforms Laplacian pyramid Threshold 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • G. Bharath
    • 1
  • A. E. Manjunath
    • 1
  • K. S. Swarnalatha
    • 2
    Email author
  1. 1.Department of CSER V College of EngineeringBangaloreIndia
  2. 2.Department of Information Science and EngineeringNITTE Meenakshi Institute of TechnologyBangaloreIndia

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