Improvement of Low Quality Image

碩士 === 國立臺灣海洋大學 === 資訊工程學系 === 100 === Currently, many devices are available to capture images. The image color is usually distorted if a low cost device is adapted. This thesis explores an approach of improving the low-quality digital images such as cell phone cameras through correction of distorte...

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Main Authors: Jia-Hui Chu, 朱家慧
Other Authors: Zone-Chang Lai
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/77738125267770762316
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spelling ndltd-TW-100NTOU53940372015-10-13T23:28:41Z http://ndltd.ncl.edu.tw/handle/77738125267770762316 Improvement of Low Quality Image 低品質影像之畫質改良 Jia-Hui Chu 朱家慧 碩士 國立臺灣海洋大學 資訊工程學系 100 Currently, many devices are available to capture images. The image color is usually distorted if a low cost device is adapted. This thesis explores an approach of improving the low-quality digital images such as cell phone cameras through correction of distorted color images. This thesis proposes a color correction algorithm for the low-quality digital images. The proposed method uses the expectation maximization algorithm (EM algorithm) to obtain the parameters, which assign input images into many defects classes. There are three processing steps for the proposed method. First, global color attributes of the low quality input image are used in a Gaussian mixture model (GMM) framework to classify the input images into M predefined global classes. In the second step, the input image is processed with a non-linear color correction algorithm for each of the M global classes. This color correction algorithm, referred to as RSCC (resolution synthesis color correction), applies a spatially varying color correction, which is determined by the local color attributes of the input image. Last, the outputs of the RSCC predictors are combined using the global classification weights to generate the corrected color image. Zone-Chang Lai 賴榮滄 2012 學位論文 ; thesis 52 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立臺灣海洋大學 === 資訊工程學系 === 100 === Currently, many devices are available to capture images. The image color is usually distorted if a low cost device is adapted. This thesis explores an approach of improving the low-quality digital images such as cell phone cameras through correction of distorted color images. This thesis proposes a color correction algorithm for the low-quality digital images. The proposed method uses the expectation maximization algorithm (EM algorithm) to obtain the parameters, which assign input images into many defects classes. There are three processing steps for the proposed method. First, global color attributes of the low quality input image are used in a Gaussian mixture model (GMM) framework to classify the input images into M predefined global classes. In the second step, the input image is processed with a non-linear color correction algorithm for each of the M global classes. This color correction algorithm, referred to as RSCC (resolution synthesis color correction), applies a spatially varying color correction, which is determined by the local color attributes of the input image. Last, the outputs of the RSCC predictors are combined using the global classification weights to generate the corrected color image.
author2 Zone-Chang Lai
author_facet Zone-Chang Lai
Jia-Hui Chu
朱家慧
author Jia-Hui Chu
朱家慧
spellingShingle Jia-Hui Chu
朱家慧
Improvement of Low Quality Image
author_sort Jia-Hui Chu
title Improvement of Low Quality Image
title_short Improvement of Low Quality Image
title_full Improvement of Low Quality Image
title_fullStr Improvement of Low Quality Image
title_full_unstemmed Improvement of Low Quality Image
title_sort improvement of low quality image
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/77738125267770762316
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AT zhūjiāhuì dīpǐnzhìyǐngxiàngzhīhuàzhìgǎiliáng
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