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Enhancing Medical Image Reclamation for Chest Samples Using B-Coefficients, DT-CWT and EPS Algorithm
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- Kumar, B. P. Pradeep (author)
- HKBK Coll Engn, Dept Elect & Commun Engn, Bengaluru 560045, India.
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- Rangaiah, Pramod (author)
- Uppsala universitet,Fasta tillståndets elektronik,Mikrovågor inom medicinteknik
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- Augustine, Robin, 1982- (author)
- Uppsala universitet,Fasta tillståndets elektronik,Mikrovågor inom medicinteknik
- HKBK Coll Engn, Dept Elect & Commun Engn, Bengaluru 560045, India Fasta tillståndets elektronik (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2023
- 2023
- English.
- In: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 11, s. 113360-113375
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- This paper introduces a novel approach for medical image reclamation, specifically focusing on enhancing chest image resolution. The proposed method introduces the Dual-Tree Complex Wavelet Transform (DT-CWT) with Edge Preservation Smoothing (EPS) filters to balance visual clarity. The resulting Image Reclamation system maintains high-quality results while preserving image edges. Performance validation using established metrics like Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Root Mean Square Error (RMSE), and entropy demonstrates substantial improvements: PSNR of 31, SSIM of 0.99, RMSE of 8.25, and entropy of 1.03. Furthermore, the algorithm extracts features from the enhanced chest image through symlet transform, allowing for Bhattacharya coefficient computation and unique bin analysis to enhance image retrieval. Experimental results show efficiency gains, increasing the top 5 matching images' retrieval score from 320 to 512. This approach promises to enhance medical image reclamation in emergency settings, facilitating quicker and more accurate diagnoses and treatments for acute chest injuries. Ultimately, this work can potentially save lives, reduce complications, and improve patient outcomes in chest trauma emergencies.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Keyword
- Medical image reclamation
- image resolution enhancement
- dual-tree complex wavelet transform (DT-CWT)
- chest visual-based image reclamation (Chest VBIR)
- edge preservation smoothing (EPS) filter
Publication and Content Type
- ref (subject category)
- art (subject category)
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