Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Prediction error based multi-layer data embedment schemes conceal secrets into several high frequency errors by modifying their prediction error histogram (PEH). It is investigated that k-times data embedment into n/k errors of PEH produces higher embedding payload, while maintaining better stego-image quality compared to those for embedding into n distinct errors for a single time only.  proposes a novel multi-cycle embedment scheme in which data is embedded into the errors of a defined range in each of its k cycles. Experiments re conducted to examine the performance of the proposed scheme comparing the multi-layer vs. multi-cycle embedding schemes individually and jointly. The scheme explores the points at which significantly better payloads can be obtained at the lor image distortions. Substantial improved performance re obtained during investigations, especially while large volume data embedment. The proposed scheme can embed massive and hybrid data of type text, numeric, image and audio.
['Ahmkm Kamal', 'Mohammad Mahfuzul Islam']
I am writing a research paper on a idea Boosting up the data hiding rate through multi cycle embedment process
[{"from": "human", "value": "I am writing a research paper on a idea Boosting up the data hiding rate through multi cycle embedment process"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Prediction error based multi-layer data embedment schemes conceal secrets into several high frequency errors by modifying their prediction error histogram (PEH). It is investigated that k-times data embedment into n/k errors of PEH produces higher embedding payload, while maintaining better stego-image quality compared to those for embedding into n distinct errors for a single time only.  proposes a novel multi-cycle embedment scheme in which data is embedded into the errors of a defined range in each of its k cycles. Experiments re conducted to examine the performance of the proposed scheme comparing the multi-layer vs. multi-cycle embedding schemes individually and jointly. The scheme explores the points at which significantly better payloads can be obtained at the lor image distortions. Substantial improved performance re obtained during investigations, especially while large volume data embedment. The proposed scheme can embed massive and hybrid data of type text, numeric, image and audio."}]