JOURNAL ARTICLE

Extended Speckle Reduction Anisotropic Diffusion Filter to Despeckle Ultrasound Images

P L Joseph RajK. KalimuthuSabitha GauniC. T. Manimegalai

Year: 2022 Journal:   Intelligent Automation & Soft Computing Vol: 34 (2)Pages: 1187-1196   Publisher: Taylor & Francis

Abstract

Speckle Reduction Anisotropic Diffusion filter which is used to despeckle ultrasound images, perform well at homogeneous region than in heterogeneous region resulting in loss of information available at the edges. Extended SRAD filter does the same, preserving better the edges in addition, compared to the existing SRAD filter. The proposed Extended SRAD filter includes the intensity of four more neighboring pixels in addition with other four that is meant for SRAD filter operation. So, a total of eight pixels are involved in determining the intensity of a single pixel. This improves despeckling performance by maintaining the information accessible at an image’s edges. The proposed filter produces better Peak Signal to Noise Ratio, Root Mean Square Error and Structural Similarity Index values for standard test images with different noise levels with variance 0.3, 0.35 and 0.4. It also performs well in denoising breast ultrasound images at different noise levels.

Keywords:
Anisotropic diffusion Speckle noise Filter (signal processing) Computer science Artificial intelligence Computer vision Noise reduction Speckle pattern Pixel Bilateral filter Noise (video) Median filter Image (mathematics) Image processing

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5
Cited By
0.62
FWCI (Field Weighted Citation Impact)
24
Refs
0.63
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Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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