Enhancement of discrete wavelet transform algorithm applied in medical image compression (Record no. 37402)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02233nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | FT8922 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260107132238.0 |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.9 A43 C37 2025 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Castro, Rona Jean B.; Sanchez, Niño Angelo A. |
| 245 ## - TITLE STATEMENT | |
| Title | Enhancement of discrete wavelet transform algorithm applied in medical image compression |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | c2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Other physical details | Undergraduate Thesis: (Bachelor of Science in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2025 |
| 336 ## - CONTENT TYPE | |
| Source | text |
| Content type term | text |
| Content type code | text |
| 337 ## - MEDIA TYPE | |
| Source | unmediated |
| Media type term | unmediated |
| Media type code | unmediated |
| 338 ## - CARRIER TYPE | |
| Source | volume |
| Carrier type term | volume |
| Carrier type code | volume |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | ABSTRACT: The Discrete Wavelet Transform (DWT) is a widely used technique in medical image compression due to its ability to capture both spatial and frequency characteristics of images. However, traditional DWT suffers from several limitations, including the lack of phase information, shift variance, and limited directional selectivity, which can lead to distortions, misaligned edges, and loss of critical details in reconstructed medical images. This study proposes an enhanced DWT algorithm that addresses these limitations by integrating a trained Autoencoder for phase information preservation, implementing the Stationary Wavelet Transform (SWT) to mitigate shift variance, and employing a Directional Filter Bank (DFB) to improve directional selectivity. The proposed framework is evaluated using medical image datasets, including MRI, CT scans, and X-rays, with performance metrics such as Peak Signal-to-Noise Ratio (PSNR), Mean Reconstruction Error (MRE), and Coefficient Differences, Results demonstrate significant improvements in image quality, edge preservation, and compression efficiency, with up to 61.90% improvement in PSNR and reduced reconstruction error compared to traditional DWT. The enhanced algorithm ensures that critical diagnostic details are preserved, making it suitable for applications in medical imaging where accuracy and efficiency are paramount. This study contributes to the advancement of wavelet-based compression techniques, providing a robust solution for maintaining the integrity and diagnostic quality of medical images while reducing storage and bandwidth requirements. |
| 942 ## - ADDED ENTRY ELEMENTS | |
| Source of classification or shelving scheme | |
| Item type | Thesis/Dissertation |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Fund Source | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Filipiniana-Thesis | PLM | PLM | Filipiniana Section | 2025-10-24 | donation | QA76.9 A43 C37 2025 | FT8922 | 2026-01-07 | 2026-01-07 | Thesis/Dissertation |