Android apps development for image processing
The exponential growth in smartphone usage can be traced back to June 29, 2007, when Apple officially launched the first smartphone, the iPhone. Since then, many smartphone companies have released their own mobile devices, such as smartphones and tablets, leading to a massive increase in mobil...
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sg-ntu-dr.10356-1670522023-07-07T15:45:19Z Android apps development for image processing Wong, Thong Yau Chong Yong Kim School of Electrical and Electronic Engineering EYKCHONG@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems The exponential growth in smartphone usage can be traced back to June 29, 2007, when Apple officially launched the first smartphone, the iPhone. Since then, many smartphone companies have released their own mobile devices, such as smartphones and tablets, leading to a massive increase in mobile traffic. Smartphones have become a crucial part of our lives, as people now carry them around everywhere. Not only can they make calls and send texts, but they also have various functions like internet browsing and taking pictures. With the ability to process images, people can share their photos on social media platforms like Facebook, Instagram, Snapchat, and Twitter. Image processing helps extract information from an image to understand the scene. While this used to require a powerful GPU on a desktop computer, advancements in mobile SoCs now allow smartphones to perform image processing algorithms. The Flash! is a mobile application developed for Android smartphones that enables users to capture images using the built-in camera or select them from the gallery. The processed images can then be saved and shared on various social media platforms like Instagram, Facebook, and WhatsApp. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-21T10:05:10Z 2023-05-21T10:05:10Z 2023 Final Year Project (FYP) Wong, T. Y. (2023). Android apps development for image processing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167052 https://hdl.handle.net/10356/167052 en P3047-212 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Computer hardware, software and systems Wong, Thong Yau Android apps development for image processing |
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The exponential growth in smartphone usage can be traced back to June 29, 2007, when Apple
officially launched the first smartphone, the iPhone. Since then, many smartphone companies
have released their own mobile devices, such as smartphones and tablets, leading to a massive
increase in mobile traffic.
Smartphones have become a crucial part of our lives, as people now carry them around
everywhere. Not only can they make calls and send texts, but they also have various functions
like internet browsing and taking pictures. With the ability to process images, people can share
their photos on social media platforms like Facebook, Instagram, Snapchat, and Twitter. Image
processing helps extract information from an image to understand the scene. While this used
to require a powerful GPU on a desktop computer, advancements in mobile SoCs now allow
smartphones to perform image processing algorithms.
The Flash! is a mobile application developed for Android smartphones that enables users to
capture images using the built-in camera or select them from the gallery. The processed images
can then be saved and shared on various social media platforms like Instagram, Facebook, and
WhatsApp. |
author2 |
Chong Yong Kim |
author_facet |
Chong Yong Kim Wong, Thong Yau |
format |
Final Year Project |
author |
Wong, Thong Yau |
author_sort |
Wong, Thong Yau |
title |
Android apps development for image processing |
title_short |
Android apps development for image processing |
title_full |
Android apps development for image processing |
title_fullStr |
Android apps development for image processing |
title_full_unstemmed |
Android apps development for image processing |
title_sort |
android apps development for image processing |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167052 |
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1772825282343862272 |