Halftone image watermarking via optimization
Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for H...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Guo, Yuanfang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
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| Umfang: |
16 |
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| Übergeordnetes Werk: |
Enthalten in: Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis - Zeng, C. ELSEVIER, 2014, theory, techniques & applications, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:41 ; year:2016 ; pages:85-100 ; extent:16 |
| Links: |
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| DOI / URN: |
10.1016/j.image.2015.12.002 |
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ELV040116298 |
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| 520 | |a Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. | ||
| 520 | |a Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. | ||
| 650 | 7 | |a Halftone image watermarking |2 Elsevier | |
| 650 | 7 | |a Halftone image |2 Elsevier | |
| 650 | 7 | |a Watermarking |2 Elsevier | |
| 650 | 7 | |a Error diffusion |2 Elsevier | |
| 650 | 7 | |a Optimization |2 Elsevier | |
| 700 | 1 | |a Au, Oscar C. |4 oth | |
| 700 | 1 | |a Zhou, Jiantao |4 oth | |
| 700 | 1 | |a Tang, Ketan |4 oth | |
| 700 | 1 | |a Fan, Xiaopeng |4 oth | |
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10.1016/j.image.2015.12.002 doi GBV00000000000077A.pica (DE-627)ELV040116298 (ELSEVIER)S0923-5965(15)00216-7 DE-627 ger DE-627 rakwb eng 004 000 004 DE-600 000 DE-600 610 VZ 660 620 VZ 52.56 bkl Guo, Yuanfang verfasserin aut Halftone image watermarking via optimization 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Halftone image watermarking Elsevier Halftone image Elsevier Watermarking Elsevier Error diffusion Elsevier Optimization Elsevier Au, Oscar C. oth Zhou, Jiantao oth Tang, Ketan oth Fan, Xiaopeng oth Enthalten in Elsevier Zeng, C. ELSEVIER Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis 2014 theory, techniques & applications Amsterdam [u.a.] (DE-627)ELV017872103 volume:41 year:2016 pages:85-100 extent:16 https://doi.org/10.1016/j.image.2015.12.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_21 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2015 52.56 Regenerative Energieformen alternative Energieformen VZ AR 41 2016 85-100 16 045F 004 |
| spelling |
10.1016/j.image.2015.12.002 doi GBV00000000000077A.pica (DE-627)ELV040116298 (ELSEVIER)S0923-5965(15)00216-7 DE-627 ger DE-627 rakwb eng 004 000 004 DE-600 000 DE-600 610 VZ 660 620 VZ 52.56 bkl Guo, Yuanfang verfasserin aut Halftone image watermarking via optimization 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Halftone image watermarking Elsevier Halftone image Elsevier Watermarking Elsevier Error diffusion Elsevier Optimization Elsevier Au, Oscar C. oth Zhou, Jiantao oth Tang, Ketan oth Fan, Xiaopeng oth Enthalten in Elsevier Zeng, C. ELSEVIER Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis 2014 theory, techniques & applications Amsterdam [u.a.] (DE-627)ELV017872103 volume:41 year:2016 pages:85-100 extent:16 https://doi.org/10.1016/j.image.2015.12.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_21 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2015 52.56 Regenerative Energieformen alternative Energieformen VZ AR 41 2016 85-100 16 045F 004 |
| allfields_unstemmed |
10.1016/j.image.2015.12.002 doi GBV00000000000077A.pica (DE-627)ELV040116298 (ELSEVIER)S0923-5965(15)00216-7 DE-627 ger DE-627 rakwb eng 004 000 004 DE-600 000 DE-600 610 VZ 660 620 VZ 52.56 bkl Guo, Yuanfang verfasserin aut Halftone image watermarking via optimization 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Halftone image watermarking Elsevier Halftone image Elsevier Watermarking Elsevier Error diffusion Elsevier Optimization Elsevier Au, Oscar C. oth Zhou, Jiantao oth Tang, Ketan oth Fan, Xiaopeng oth Enthalten in Elsevier Zeng, C. ELSEVIER Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis 2014 theory, techniques & applications Amsterdam [u.a.] (DE-627)ELV017872103 volume:41 year:2016 pages:85-100 extent:16 https://doi.org/10.1016/j.image.2015.12.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_21 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2015 52.56 Regenerative Energieformen alternative Energieformen VZ AR 41 2016 85-100 16 045F 004 |
| allfieldsGer |
10.1016/j.image.2015.12.002 doi GBV00000000000077A.pica (DE-627)ELV040116298 (ELSEVIER)S0923-5965(15)00216-7 DE-627 ger DE-627 rakwb eng 004 000 004 DE-600 000 DE-600 610 VZ 660 620 VZ 52.56 bkl Guo, Yuanfang verfasserin aut Halftone image watermarking via optimization 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Halftone image watermarking Elsevier Halftone image Elsevier Watermarking Elsevier Error diffusion Elsevier Optimization Elsevier Au, Oscar C. oth Zhou, Jiantao oth Tang, Ketan oth Fan, Xiaopeng oth Enthalten in Elsevier Zeng, C. ELSEVIER Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis 2014 theory, techniques & applications Amsterdam [u.a.] (DE-627)ELV017872103 volume:41 year:2016 pages:85-100 extent:16 https://doi.org/10.1016/j.image.2015.12.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_21 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2015 52.56 Regenerative Energieformen alternative Energieformen VZ AR 41 2016 85-100 16 045F 004 |
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10.1016/j.image.2015.12.002 doi GBV00000000000077A.pica (DE-627)ELV040116298 (ELSEVIER)S0923-5965(15)00216-7 DE-627 ger DE-627 rakwb eng 004 000 004 DE-600 000 DE-600 610 VZ 660 620 VZ 52.56 bkl Guo, Yuanfang verfasserin aut Halftone image watermarking via optimization 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. Halftone image watermarking Elsevier Halftone image Elsevier Watermarking Elsevier Error diffusion Elsevier Optimization Elsevier Au, Oscar C. oth Zhou, Jiantao oth Tang, Ketan oth Fan, Xiaopeng oth Enthalten in Elsevier Zeng, C. ELSEVIER Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis 2014 theory, techniques & applications Amsterdam [u.a.] (DE-627)ELV017872103 volume:41 year:2016 pages:85-100 extent:16 https://doi.org/10.1016/j.image.2015.12.002 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_21 GBV_ILN_22 GBV_ILN_70 GBV_ILN_2002 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2015 52.56 Regenerative Energieformen alternative Energieformen VZ AR 41 2016 85-100 16 045F 004 |
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Enthalten in Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis Amsterdam [u.a.] volume:41 year:2016 pages:85-100 extent:16 |
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Enthalten in Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis Amsterdam [u.a.] volume:41 year:2016 pages:85-100 extent:16 |
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Effectiveness of continuous and pulsed ultrasound for the management of knee osteoarthritis: a systematic review and network meta-analysis |
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Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. |
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Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. |
| abstract_unstemmed |
Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. In this paper, we tackle halftone image watermarking problems from a theoretical perspective. First, we propose a general optimization framework for Halftone Visual Watermarking (HVW), which is a certain category of halftone image watermarking techniques. Then two specific HVW problems, Single-sided Embedding Error Diffusion (SEED) and Double-sided Embedding Error Diffusion (DEED) are presented and solved by applying the proposed framework. With SEED and DEED obtained, both the theoretical solutions and experimental results indicate that our previous heuristic methods, Data Hiding by Conjugate Error Diffusion (DHCED) and Data Hiding by Dual Conjugate Error Diffusion (DHDCED), are special cases of SEED and DEED, respectively. We also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper, we essentially build a bridge between the theory and practical implementations of HVW problems. |
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