Image enhancement for low-lighting environment
Image noise is an undesirable by-product in all forms of pictures. It can be random and varies in brightness or color information. Low light images suffer from noise and low contrast. This can prevent important or key information in pictures from being visible. Image enhancement is the process of ad...
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sg-ntu-dr.10356-716132023-07-07T16:07:43Z Image enhancement for low-lighting environment Chan, Terry Fan Hui Ma Kai Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Image noise is an undesirable by-product in all forms of pictures. It can be random and varies in brightness or color information. Low light images suffer from noise and low contrast. This can prevent important or key information in pictures from being visible. Image enhancement is the process of adjusting digital images so that the output image will be more suitable for usage. Histogram Equalization is an image processing technique that can adjust image intensities to alter the contrast. Therefore, this project seeks to develop an android application that can enhance an image such that details that are hidden or blur in the input image will appear more distinctive. Bachelor of Engineering 2017-05-17T10:08:27Z 2017-05-17T10:08:27Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/71613 en Nanyang Technological University 63 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Chan, Terry Fan Hui Image enhancement for low-lighting environment |
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Image noise is an undesirable by-product in all forms of pictures. It can be random and varies in brightness or color information. Low light images suffer from noise and low contrast. This can prevent important or key information in pictures from being visible. Image enhancement is the process of adjusting digital images so that the output image will be more suitable for usage. Histogram Equalization is an image processing technique that can adjust image intensities to alter the contrast. Therefore, this project seeks to develop an android application that can enhance an image such that details that are hidden or blur in the input image will appear more distinctive. |
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Ma Kai Kuang |
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Ma Kai Kuang Chan, Terry Fan Hui |
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Final Year Project |
author |
Chan, Terry Fan Hui |
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Chan, Terry Fan Hui |
title |
Image enhancement for low-lighting environment |
title_short |
Image enhancement for low-lighting environment |
title_full |
Image enhancement for low-lighting environment |
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Image enhancement for low-lighting environment |
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Image enhancement for low-lighting environment |
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image enhancement for low-lighting environment |
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2017 |
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http://hdl.handle.net/10356/71613 |
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1772826210385002496 |