A Study of Image Detail and Contrast Cascade Algorithm
碩士 === 國立臺灣大學 === 電子工程學研究所 === 96 === In this thesis, an advanced method which can improve detail and contrast of image in luminance is presented and associated hardware experimentation is developed. There are three major features in this thesis ,the first feature is CIEL*a*b* color space transforma...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/97364352736578530456 |
id |
ndltd-TW-096NTU05428109 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-096NTU054281092016-05-11T04:16:52Z http://ndltd.ncl.edu.tw/handle/97364352736578530456 A Study of Image Detail and Contrast Cascade Algorithm 影像細節疊加對比演算法研究 Hsu-Hung Chen 陳旭宏 碩士 國立臺灣大學 電子工程學研究所 96 In this thesis, an advanced method which can improve detail and contrast of image in luminance is presented and associated hardware experimentation is developed. There are three major features in this thesis ,the first feature is CIEL*a*b* color space transformation which has better separation of luminance and chroma, the second is image processing method which is implemented by detail and contrast cascade, and the third is dynamic image processing. This thesis uses CIEL*a*b* color space which has proper perceptual image and it also can be easily analyzed and processed in linear format. Image detail and contrast cascade architecture has complementary design which could preserve detail and enhance contrast of image simultaneously. The presented approach of dynamic image analysis and parameter adjustment could help enhance the dynamic input images. From the theoretical basis and associated hardware implementation, the presented approach in this thesis has shown feasible and usable. We also expect this content could stimulate different thinking in image research. Chern-Lin Chen 陳秋麟 2008 學位論文 ; thesis 50 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立臺灣大學 === 電子工程學研究所 === 96 === In this thesis, an advanced method which can improve detail and contrast of image in luminance is presented and associated hardware experimentation is developed. There are three major features in this thesis ,the first feature is CIEL*a*b* color space transformation which has better separation of luminance and chroma, the second is image processing method which is implemented by detail and contrast cascade, and the third is dynamic image processing.
This thesis uses CIEL*a*b* color space which has proper perceptual image and it also can be easily analyzed and processed in linear format. Image detail and contrast cascade architecture has complementary design which could preserve detail and enhance contrast of image simultaneously. The presented approach of dynamic image analysis and parameter adjustment could help enhance the dynamic input images.
From the theoretical basis and associated hardware implementation, the presented approach in this thesis has shown feasible and usable. We also expect this content could stimulate different thinking in image research.
|
author2 |
Chern-Lin Chen |
author_facet |
Chern-Lin Chen Hsu-Hung Chen 陳旭宏 |
author |
Hsu-Hung Chen 陳旭宏 |
spellingShingle |
Hsu-Hung Chen 陳旭宏 A Study of Image Detail and Contrast Cascade Algorithm |
author_sort |
Hsu-Hung Chen |
title |
A Study of Image Detail and Contrast Cascade Algorithm |
title_short |
A Study of Image Detail and Contrast Cascade Algorithm |
title_full |
A Study of Image Detail and Contrast Cascade Algorithm |
title_fullStr |
A Study of Image Detail and Contrast Cascade Algorithm |
title_full_unstemmed |
A Study of Image Detail and Contrast Cascade Algorithm |
title_sort |
study of image detail and contrast cascade algorithm |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/97364352736578530456 |
work_keys_str_mv |
AT hsuhungchen astudyofimagedetailandcontrastcascadealgorithm AT chénxùhóng astudyofimagedetailandcontrastcascadealgorithm AT hsuhungchen yǐngxiàngxìjiédiéjiāduìbǐyǎnsuànfǎyánjiū AT chénxùhóng yǐngxiàngxìjiédiéjiāduìbǐyǎnsuànfǎyánjiū AT hsuhungchen studyofimagedetailandcontrastcascadealgorithm AT chénxùhóng studyofimagedetailandcontrastcascadealgorithm |
_version_ |
1718265672760295424 |