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Speckle noise reduction and entropy minimization approach for medical images

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Abstract

Speckle noise is a commonly known phenomenon for ultrasound imaging systems, which got introduced due to random interference of coherent waves. The measurement of uncertainty, called as Entropy, shows a considerable effect on medical contrast enhanced ultrasound images. An approach has been implemented and tested on various images using a filter bank and presented an effective nature of filtered images along with speckle noise reduction. The implementation of the work also satisfies the Minimax entropy principle for the set of real time collected images from various ultrasound centers and thus produces a significant performance. The measurement of homogeneity for each filter validates the proposed approach.

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Availability of data and material

The data has been collected from the radiology department of the District Hospital, Udhampur, Jammu after the approval and permission taken by the Medical Superintendent.

Code availability

The code is self-designed and is thus available with the author.

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Funding

The work is not funded by any organization.

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Authors and Affiliations

  1. Electronics and Communication Engineering Department, Lingayas’ Vidyapeeth, Faridabad, Haryana, India

    Neha Mehta & Svav Prasad

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  1. Neha Mehta
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  2. Svav Prasad
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Correspondence to Neha Mehta.

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Mehta, N., Prasad, S. Speckle noise reduction and entropy minimization approach for medical images. Int. j. inf. tecnol. 13, 1457–1462 (2021). https://doi.org/10.1007/s41870-021-00713-y

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  • DOI: https://doi.org/10.1007/s41870-021-00713-y

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