Image Noise Reduction with Frequency Analysis

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 96 === Images captured from digital still cameras are often with a certain amount of noise which is subjected to optical sources and physical limitation of instruments. To capture image with quality acceptable by customers, image signal processor in digital still camer...

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Main Authors: Chou-Yuh Chong, 鍾招佑
Other Authors: 傅楸善
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/71482945603469686296
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spelling ndltd-TW-096NTU053920772016-05-11T04:16:50Z http://ndltd.ncl.edu.tw/handle/71482945603469686296 Image Noise Reduction with Frequency Analysis 用頻率分析降低影像雜訊 Chou-Yuh Chong 鍾招佑 碩士 國立臺灣大學 資訊工程學研究所 96 Images captured from digital still cameras are often with a certain amount of noise which is subjected to optical sources and physical limitation of instruments. To capture image with quality acceptable by customers, image signal processor in digital still camera should include noise reduction. If we use image signal processor in digital still camera, rather than post-processing software on personal computer, to reduce noise, we must consider some limitations, such as computation power, memory limit, or even some time constraint. Our method does consider these limitations, making our algorithm as simple as possible, preventing any iterative repetition, and avoiding huge memory usage. We also analyze as much information as possible locally in different frequencies to reduce noise. 傅楸善 2008 學位論文 ; thesis 41 zh-TW
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description 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 96 === Images captured from digital still cameras are often with a certain amount of noise which is subjected to optical sources and physical limitation of instruments. To capture image with quality acceptable by customers, image signal processor in digital still camera should include noise reduction. If we use image signal processor in digital still camera, rather than post-processing software on personal computer, to reduce noise, we must consider some limitations, such as computation power, memory limit, or even some time constraint. Our method does consider these limitations, making our algorithm as simple as possible, preventing any iterative repetition, and avoiding huge memory usage. We also analyze as much information as possible locally in different frequencies to reduce noise.
author2 傅楸善
author_facet 傅楸善
Chou-Yuh Chong
鍾招佑
author Chou-Yuh Chong
鍾招佑
spellingShingle Chou-Yuh Chong
鍾招佑
Image Noise Reduction with Frequency Analysis
author_sort Chou-Yuh Chong
title Image Noise Reduction with Frequency Analysis
title_short Image Noise Reduction with Frequency Analysis
title_full Image Noise Reduction with Frequency Analysis
title_fullStr Image Noise Reduction with Frequency Analysis
title_full_unstemmed Image Noise Reduction with Frequency Analysis
title_sort image noise reduction with frequency analysis
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/71482945603469686296
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