Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter

碩士 === 國立臺灣科技大學 === 資訊工程系 === 97 === This thesis presents a gradient--based adaptive error diffusion method with edge enhancement effect while preserving the smoothness effect. The proposed method not only can modulate the threshold in halftoning dynamically but also can determine the weights of the...

Full description

Bibliographic Details
Main Authors: Wei-ling Hsu, 許維凌
Other Authors: Chyou-hwa Chen
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/47959619336724374583
id ndltd-TW-097NTUS5392020
record_format oai_dc
spelling ndltd-TW-097NTUS53920202016-05-02T04:11:27Z http://ndltd.ncl.edu.tw/handle/47959619336724374583 Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter 植基於門檻值調整及動態誤差擴散係數的邊緣補強半色調演算法 Wei-ling Hsu 許維凌 碩士 國立臺灣科技大學 資訊工程系 97 This thesis presents a gradient--based adaptive error diffusion method with edge enhancement effect while preserving the smoothness effect. The proposed method not only can modulate the threshold in halftoning dynamically but also can determine the weights of the error diffusion filter adaptively to diffuse the quantization error to neighboring pixels properly. Under six testing images, experimental results demonstrate that our proposed new error diffusion method has a good compromise between the edge enhancement effect in the halftone image and the image quality effect in the corresponding inverse halftone image when compared to the methods by Floyd--Steinberg, Eschbach and Knox, Hwang et al., Li, and Feng et al., but it has some execution-time degradation. Chyou-hwa Chen Kuo-liang Chung 陳秋華 鍾國亮 2009 學位論文 ; thesis 27 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立臺灣科技大學 === 資訊工程系 === 97 === This thesis presents a gradient--based adaptive error diffusion method with edge enhancement effect while preserving the smoothness effect. The proposed method not only can modulate the threshold in halftoning dynamically but also can determine the weights of the error diffusion filter adaptively to diffuse the quantization error to neighboring pixels properly. Under six testing images, experimental results demonstrate that our proposed new error diffusion method has a good compromise between the edge enhancement effect in the halftone image and the image quality effect in the corresponding inverse halftone image when compared to the methods by Floyd--Steinberg, Eschbach and Knox, Hwang et al., Li, and Feng et al., but it has some execution-time degradation.
author2 Chyou-hwa Chen
author_facet Chyou-hwa Chen
Wei-ling Hsu
許維凌
author Wei-ling Hsu
許維凌
spellingShingle Wei-ling Hsu
許維凌
Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
author_sort Wei-ling Hsu
title Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
title_short Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
title_full Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
title_fullStr Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
title_full_unstemmed Edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
title_sort edge enhanced halftoning based on threshold modulation and adaptiveerror diffusion filter
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/47959619336724374583
work_keys_str_mv AT weilinghsu edgeenhancedhalftoningbasedonthresholdmodulationandadaptiveerrordiffusionfilter
AT xǔwéilíng edgeenhancedhalftoningbasedonthresholdmodulationandadaptiveerrordiffusionfilter
AT weilinghsu zhíjīyúménkǎnzhídiàozhěngjídòngtàiwùchàkuòsànxìshùdebiānyuánbǔqiángbànsèdiàoyǎnsuànfǎ
AT xǔwéilíng zhíjīyúménkǎnzhídiàozhěngjídòngtàiwùchàkuòsànxìshùdebiānyuánbǔqiángbànsèdiàoyǎnsuànfǎ
_version_ 1718254047900729344