A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 96 === Intensity-pair distribution was recently proposed to enhance the contrast of an image. There are several parameters provided in that algorithm for users to control the enhancement. With a proper combination of parameters, the algorithm provides satisfying con...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/92740683128701884022 |
id |
ndltd-TW-096NCKU5652046 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-096NCKU56520462016-05-09T04:14:20Z http://ndltd.ncl.edu.tw/handle/92740683128701884022 A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution 一個以強度對分佈為基礎的自動化影像增強法 Nai-Ching Wang 王乃慶 碩士 國立成功大學 電腦與通信工程研究所 96 Intensity-pair distribution was recently proposed to enhance the contrast of an image. There are several parameters provided in that algorithm for users to control the enhancement. With a proper combination of parameters, the algorithm provides satisfying contrast enhancement without noise amplification, unnatural look, and other common drawbacks that are seen in previous works, but there is no effective method of parameter selection mentioned. In this paper, we proposed an effective criterion based on human visual system to decide a proper combination of parameters. With an appropriate combination of parameters, we can take the most advantage of that algorithm. Automation of parameter selection can easily be done by iteratively using the proposed algorithm. We presented experimental results to compare results of contrast enhancement with proper and improper combinations of parameters. Shen-Chuan Tai 戴顯權 2008 學位論文 ; thesis 55 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立成功大學 === 電腦與通信工程研究所 === 96 === Intensity-pair distribution was recently proposed to enhance the contrast of an image. There are several parameters provided in that algorithm for users to control the enhancement. With a proper combination of parameters, the algorithm provides satisfying contrast enhancement without noise amplification, unnatural look, and other common drawbacks that are seen in previous works, but there is no effective method of parameter selection mentioned. In
this paper, we proposed an effective criterion based on human visual system to decide a proper combination of parameters. With an appropriate combination of parameters, we can take the most advantage of that algorithm. Automation of parameter selection can easily be done by iteratively using the proposed algorithm. We presented experimental results to compare results of contrast enhancement with proper and improper combinations of
parameters.
|
author2 |
Shen-Chuan Tai |
author_facet |
Shen-Chuan Tai Nai-Ching Wang 王乃慶 |
author |
Nai-Ching Wang 王乃慶 |
spellingShingle |
Nai-Ching Wang 王乃慶 A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution |
author_sort |
Nai-Ching Wang |
title |
A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution |
title_short |
A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution |
title_full |
A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution |
title_fullStr |
A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution |
title_full_unstemmed |
A Method for Automatic Image Contrast Enhancement Based on Intensity-Pair Distribution |
title_sort |
method for automatic image contrast enhancement based on intensity-pair distribution |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/92740683128701884022 |
work_keys_str_mv |
AT naichingwang amethodforautomaticimagecontrastenhancementbasedonintensitypairdistribution AT wángnǎiqìng amethodforautomaticimagecontrastenhancementbasedonintensitypairdistribution AT naichingwang yīgèyǐqiángdùduìfēnbùwèijīchǔdezìdònghuàyǐngxiàngzēngqiángfǎ AT wángnǎiqìng yīgèyǐqiángdùduìfēnbùwèijīchǔdezìdònghuàyǐngxiàngzēngqiángfǎ AT naichingwang methodforautomaticimagecontrastenhancementbasedonintensitypairdistribution AT wángnǎiqìng methodforautomaticimagecontrastenhancementbasedonintensitypairdistribution |
_version_ |
1718264156853895168 |