Paper Title
Noisy Medical Image Enhancement Based on Dyadic Wavelet Transform
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Registration ID: IJNRD_309088
Published ID: IJNRD2508253
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Keywords
Medical Imaging, Noise Reduction, Dyadic Wavelet Transform, Image Enhancement, PSNR, SSIM.
Abstract
Medical image analysis is often hindered by noise originating from acquisition devices, transmission errors, and environmental factors. Enhancing such noisy images is crucial for reliable diagnosis, surgical planning, and treatment monitoring. Wavelet-based methods have demonstrated significant promise in multi resolution analysis and noise suppression. In this paper, we propose a noisy medical image enhancement technique using the Dyadic Wavelet Transform (DWT). The method leverages the dyadic structure for efficient decomposition, followed by adaptive thresholding and reconstruction to reduce noise while preserving diagnostically important features such as edges, textures, and tissue boundaries. Comparative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Mean Squared Error (MSE) show that the proposed approach outperforms traditional spatial and frequency domain methods in both noise suppression and feature preservation.
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How To Cite (APA)
Mrs.Supriya A.Patil (August-2025). Noisy Medical Image Enhancement Based on Dyadic Wavelet Transform. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(8), c424-c428. https://ijnrd.org/papers/IJNRD2508253.pdf
Issue
Volume 10 Issue 8, August-2025
Pages : c424-c428
Other Publication Details
Paper Reg. ID: IJNRD_309088
Published Paper Id: IJNRD2508253
Research Area: Science and Technology
Author Type: Indian Author
Country: Sangli, Maharashtra , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2508253.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2508253
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