Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. ,  tackle halftone image watermarking problems from a theoretical perspective. First,  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.  also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper,  essentially build a bridge beten the theory and practical implementations of HVW problems.
['Yuanfang Guo', 'Oscar C. Au', 'Jiantao Zhou', 'Ketan Tang', 'Xiaopeng Fan']
I am writing a research paper on a idea Halftone image watermarking via optimization
[{"from": "human", "value": "I am writing a research paper on a idea Halftone image watermarking via optimization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although halftone image watermarking technologies have been rapidly developing in the 21st century, the existing techniques lack a theoretical basis. ,  tackle halftone image watermarking problems from a theoretical perspective. First,  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.  also demonstrate that DEED can achieve outstanding performance compared to DHDCED and other previous methods by selecting different parameters. With this paper,  essentially build a bridge beten the theory and practical implementations of HVW problems."}]