Blur detection of digital forgery using mathematical morphology
Aiming at the fuzzy operation commonly used in image tampering,a new fuzzy detection scheme using smooth filter preserving edges and mathematical morphological methods was studied.By using the sharpening function and denoising function of both methods,tampering and location of tampering position can...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-04-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00152 |
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| _version_ | 1841530245647171584 |
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| author | Hui-fen HUANG Zhi-hong WANG Yu-hong CHANG |
| author_facet | Hui-fen HUANG Zhi-hong WANG Yu-hong CHANG |
| author_sort | Hui-fen HUANG |
| collection | DOAJ |
| description | Aiming at the fuzzy operation commonly used in image tampering,a new fuzzy detection scheme using smooth filter preserving edges and mathematical morphological methods was studied.By using the sharpening function and denoising function of both methods,tampering and location of tampering position can be pointed out without embedding information such as watermarking technique.The method can not only determine whether an image has been virtualized,but also detect the extent of the image blur.Experimental results confirm the effectiveness of the scheme. |
| format | Article |
| id | doaj-art-ccd921c8eb9740e685ca0f96709b33b7 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-04-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-ccd921c8eb9740e685ca0f96709b33b72025-01-15T03:05:38ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-04-013202559550205Blur detection of digital forgery using mathematical morphologyHui-fen HUANGZhi-hong WANGYu-hong CHANGAiming at the fuzzy operation commonly used in image tampering,a new fuzzy detection scheme using smooth filter preserving edges and mathematical morphological methods was studied.By using the sharpening function and denoising function of both methods,tampering and location of tampering position can be pointed out without embedding information such as watermarking technique.The method can not only determine whether an image has been virtualized,but also detect the extent of the image blur.Experimental results confirm the effectiveness of the scheme.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00152image forensicsmathematical morphologybluredge |
| spellingShingle | Hui-fen HUANG Zhi-hong WANG Yu-hong CHANG Blur detection of digital forgery using mathematical morphology 网络与信息安全学报 image forensics mathematical morphology blur edge |
| title | Blur detection of digital forgery using mathematical morphology |
| title_full | Blur detection of digital forgery using mathematical morphology |
| title_fullStr | Blur detection of digital forgery using mathematical morphology |
| title_full_unstemmed | Blur detection of digital forgery using mathematical morphology |
| title_short | Blur detection of digital forgery using mathematical morphology |
| title_sort | blur detection of digital forgery using mathematical morphology |
| topic | image forensics mathematical morphology blur edge |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00152 |
| work_keys_str_mv | AT huifenhuang blurdetectionofdigitalforgeryusingmathematicalmorphology AT zhihongwang blurdetectionofdigitalforgeryusingmathematicalmorphology AT yuhongchang blurdetectionofdigitalforgeryusingmathematicalmorphology |