MARC details
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| 003 - CONTROL NUMBER IDENTIFIER |
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MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20260101143852.0 |
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ta |
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260101t20252025my a|||fr|||| 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0010207 (Local) |
| Qualifying information |
Hardback |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMPSA |
| Language of cataloging |
eng |
| Transcribing agency |
UMPSA |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FTKPM .Q74 2025 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Syafiq Qhushairy Bin Syamsul Amri, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Underwater image enhancement using integrated chromatic adaptation modified white balance / |
| Statement of responsibility, etc. |
Syafiq Qhushairy Bin Syamsul Amri |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMPSA, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2025 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Date of production, publication, distribution, manufacture, or copyright notice |
© 2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xiv, 125 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-COM |
| 336 ## - CONTENT TYPE |
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rdacontent |
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text |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| Carrier type term |
volume |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| Source |
rda |
| File type |
text file |
| Encoding format |
PDF |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Manufacturing and Mechatronic Engineering Technology |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Master of Science) -- Universiti Malaysia Pahang – 2025 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Underwater image enhancement is crucial for improving visual perception and the applicability of underwater images. Various methods have been proposed to enhance underwater images, such as modeling image enhancement as a distortion process and utilizing color constancy-based schemes. Challenges in underwater image processing include factors like turbidity, light refraction, and low-contrast objects, which impact image quality and cause unnatural views and disrupted object colors in the underwater environment. The objective in this thesis is to develop robust image processing algorithms that can effectively enhance underwater images and improve visibility for various applications. This will help researchers and professionals in fields such as marine biology and underwater photography to obtain detail and improve visibility images of underwater scenes. The second objective is to analyse and verify the developed algorithm for improvement of images color cast and object details, ultimately leading to image quality. The method suggested in this thesis is the Integrated Chromatic Adaptation Modified White Balance (CAMWB), which aims to enhance visibility and object detail in underwater images. This work focuses on addressing the primary difficulties of visibility and object detail in the underwater environment, as the existing methods still require assistance in effectively resolving these issues. This work has developed algorithms based on mathematical equations, leading to the creation of a novel three-stage CAMWB technique. In the first stage, the modification process using chromatic adaptation-based image color channel neutralization is implemented to improve and correct the color balance of the underwater image. The second stage is image intensity mapping on a dual image histogram, which is used to improve the performance of the less effective color channels. Lastly, brightness reconstruction for each color channel is used in the last stage to enhance the overall object color and achieve a more realistic representation of the underwater scene by adjusting the contrast and shadows. The findings indicate that the CAMWB implementation method effectively resolved particular problems related to visibility, object color cast, and image details. Additionally, it enhanced the overall quality of underwater images by enhancing uniform illumination and image contrast. The proposed approach demonstrates superior performance in extracting information from underwater images. Experiments conducted on 300 sample underwater images taken from Redang Island in various scenarios demonstrate that the proposed CAMWB method enhances the visual quality of output images and surpasses existing state-of-the-art methods such as integrated color model (ICM), the natural-based underwater image color enhancement through the fusion of swarm intelligence algorithm (NUCE), the dual-intensity images and Rayleigh stretching (DIRS), the bio-inspired multi-exposure fusion framework for low light image enhancement (BIMEF), the Rayleigh contrast-limited adaptive histogram equalisation (Rayleigh CLAHE), the Histogram Equalisation (HE), and the color balance and fusion for underwater image enhancement (WB Multiscale Fusion). The results indicate that CAMWB outperforms other methods in terms of average gradient value, with a value of 9.201. In conclusion, the Integrated Chromatic Adaptation Modified White Balance (CAMWB) algorithm developed in this study significantly improves underwater image quality by addressing critical challenges such as reduced water clarity, light attenuation, and color distortion. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
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| Corporate name or jurisdiction name as entry element |
Faculty of Manufacturing and Mechatronic Engineering Technology |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Theses |
| General subdivision |
Dissertations |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |