DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
Brac University
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/18069 |
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10361-18069 |
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10361-180692023-10-15T05:22:28Z DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. Khan, Ibrahim Noor, Jannatun Department of Computer Science and Engineering, Brac University Moiré artifact Deep learning Screen capture Wavelet Convolution Network Dense Network Denoising Cognitive learning theory (Deep learning) Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 21-23). Moiré artifacts is a special type of noise which is rarely considered in deep learning based image processing tasks. But with the increasing number of digital screens like TV, laptop, desktop screens etc. it is becoming common to take pictures of these screens to quickly save information and a common aliasing effect in these screen cap ture images is moiré pattern. These kinds of artifacts in images appear when two repetitive patterns interfere with one another. Moiré patterns degrade the quality of photos. It affects the performance of other deep learning tasks using these images like classification, segmentation etc. As the moiré pattern is highly variant, has im balanced magnitude in different channels and sophisticated frequency distribution, they are difficult to be completely removed without affecting the main information of the underneath image. Because of its complex nature, most state-of-the-art im age restoration and denoising related methods fail to remove these artifacts. In this paper I proposed an effective wavelet based deep learning model for removing moiré patterns which outperforms all other state of the art by large margins. My pro posed model recovers the details of the moiré free image using the wavelet packet transform. The Residual Dense Module Network and Dilation Convolution Network of our model acquires moiré information from almost all frequency ranges. One for high frequency range and other for low frequency range. Ibrahim Khan B. Computer Science 2023-04-03T07:56:39Z 2023-04-03T07:56:39Z 2022 2022-09 Thesis ID: 18201152 http://hdl.handle.net/10361/18069 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 23 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Moiré artifact Deep learning Screen capture Wavelet Convolution Network Dense Network Denoising Cognitive learning theory (Deep learning) Machine learning |
| spellingShingle |
Moiré artifact Deep learning Screen capture Wavelet Convolution Network Dense Network Denoising Cognitive learning theory (Deep learning) Machine learning Khan, Ibrahim DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Noor, Jannatun |
| author_facet |
Noor, Jannatun Khan, Ibrahim |
| format |
Thesis |
| author |
Khan, Ibrahim |
| author_sort |
Khan, Ibrahim |
| title |
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. |
| title_short |
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. |
| title_full |
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. |
| title_fullStr |
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. |
| title_full_unstemmed |
DeepWPD: A deep learning based wavelet packet decomposition to remove Moiré pattern from screen capture images. |
| title_sort |
deepwpd: a deep learning based wavelet packet decomposition to remove moiré pattern from screen capture images. |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/18069 |
| work_keys_str_mv |
AT khanibrahim deepwpdadeeplearningbasedwaveletpacketdecompositiontoremovemoirepatternfromscreencaptureimages |
| _version_ |
1814308626660065280 |