Modified Non-local Means Model for Speckle Noise Reduction in Ultrasound Images
- Title
- Modified Non-local Means Model for Speckle Noise Reduction in Ultrasound Images
- Creator
- Shereena V.B.; Raju G.
- Description
- In the modern health care field, various medical imaging modalities play a vital role in diagnosis. Among the modalities, Medical Ultrasound Imaging is the most popular and economic modality. But its vulnerability to multiplicative speckle noise is challenging, which obscure accurate diagnosis. To reduce the influence of the speckle noise, various noise filtering models have been proposed. But while filtering the noise, these filters exhibit limitations like high computational complexity and loss of detailed structures and edges of organs. In this article, a novel Non-local means (NLM)-based model is proposed for the speckle reduction of Ultrasound images. The design parameters of the NLM filter are obtained by applying the Grey Wolf Optimization (GWO) to the input image. The optimized parameters and the noisy image are passed to the NLM filter to get the denoised image. The efficiency of this proposed method is evaluated with standard performance metrics. A comparative analysis with existing methods highlights the merit of the proposal. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 691-707.
- Date
- 2022-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Alpha position; Grey wolf optimization; Non-local means filter; Speckle noise; Ultrasound image
- Coverage
- Shereena V.B., School of Computer Sciences, Mahatma Gandhi University, Kerala, India; Raju G., Christ University, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 23674512
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Shereena V.B.; Raju G., “Modified Non-local Means Model for Speckle Noise Reduction in Ultrasound Images,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18656.