On the pinned field image binarization for signature generation in image ownership verification method
<p>Abstract</p> <p>The issue of pinned field image binarization for signature generation in the ownership verification of the protected image is investigated. The pinned field explores the texture information of the protected image and can be employed to enhance the watermark robus...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2011-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://asp.eurasipjournals.com/content/2011/1/44 |
| _version_ | 1811266018718253056 |
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| author | Chang Hsuan Lee Mn-Ta |
| author_facet | Chang Hsuan Lee Mn-Ta |
| author_sort | Chang Hsuan |
| collection | DOAJ |
| description | <p>Abstract</p> <p>The issue of pinned field image binarization for signature generation in the ownership verification of the protected image is investigated. The pinned field explores the texture information of the protected image and can be employed to enhance the watermark robustness. In the proposed method, four optimization schemes are utilized to determine the threshold values for transforming the pinned field into a binary feature image, which is then utilized to generate an effective signature image. Experimental results show that the utilization of optimization schemes can significantly improve the signature robustness from the previous method (Lee and Chang, Opt. Eng. <b> <it>49</it> </b>(9), 097005, 2010). While considering both the watermark retrieval rate and the computation speed, the genetic algorithm is strongly recommended. In addition, compared with Chang and Lin's scheme (J. Syst. Softw. <b> <it>81</it> </b>(7), 1118-1129, 2008), the proposed scheme also has better performance.</p> |
| first_indexed | 2024-04-12T20:35:35Z |
| format | Article |
| id | doaj.art-04a5626582f84c8f85de57b5d859ab92 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-04-12T20:35:35Z |
| publishDate | 2011-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-04a5626582f84c8f85de57b5d859ab922022-12-22T03:17:36ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-012011144On the pinned field image binarization for signature generation in image ownership verification methodChang HsuanLee Mn-Ta<p>Abstract</p> <p>The issue of pinned field image binarization for signature generation in the ownership verification of the protected image is investigated. The pinned field explores the texture information of the protected image and can be employed to enhance the watermark robustness. In the proposed method, four optimization schemes are utilized to determine the threshold values for transforming the pinned field into a binary feature image, which is then utilized to generate an effective signature image. Experimental results show that the utilization of optimization schemes can significantly improve the signature robustness from the previous method (Lee and Chang, Opt. Eng. <b> <it>49</it> </b>(9), 097005, 2010). While considering both the watermark retrieval rate and the computation speed, the genetic algorithm is strongly recommended. In addition, compared with Chang and Lin's scheme (J. Syst. Softw. <b> <it>81</it> </b>(7), 1118-1129, 2008), the proposed scheme also has better performance.</p>http://asp.eurasipjournals.com/content/2011/1/44Ownership verificationImage pinned fieldOptimizationContent authenticationGenetic algorithm |
| spellingShingle | Chang Hsuan Lee Mn-Ta On the pinned field image binarization for signature generation in image ownership verification method EURASIP Journal on Advances in Signal Processing Ownership verification Image pinned field Optimization Content authentication Genetic algorithm |
| title | On the pinned field image binarization for signature generation in image ownership verification method |
| title_full | On the pinned field image binarization for signature generation in image ownership verification method |
| title_fullStr | On the pinned field image binarization for signature generation in image ownership verification method |
| title_full_unstemmed | On the pinned field image binarization for signature generation in image ownership verification method |
| title_short | On the pinned field image binarization for signature generation in image ownership verification method |
| title_sort | on the pinned field image binarization for signature generation in image ownership verification method |
| topic | Ownership verification Image pinned field Optimization Content authentication Genetic algorithm |
| url | http://asp.eurasipjournals.com/content/2011/1/44 |
| work_keys_str_mv | AT changhsuan onthepinnedfieldimagebinarizationforsignaturegenerationinimageownershipverificationmethod AT leemnta onthepinnedfieldimagebinarizationforsignaturegenerationinimageownershipverificationmethod |