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Selective Weighting and Prediction Error Expansion for High-Fidelity Images

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Abstract

Reversible data hiding (RDH) based on prediction error expansion (PEE) needs a reliable predictor to forecast the pixel. The hidden information is inserted into the original cover image pixels using the Prediction Error (PE). To improve the accuracy of pixel predictions for cover images, there are a number of algorithms available in the literature. Based on the different gradient estimations, several academics have suggested prediction methods. More research on this gradient-based pixel prediction method is presented in this article. In order to improve exploration gradient estimates, we have looked at a number of local contexts surrounding the current pixel. It has been stated that experiments have been conducted to evaluate the effect of different neighborhood sizes on gradient estimation. Additionally, we investigate two methods for choosing paths according to gradient magnitudes. To incorporate the data into the initial pixels, a new embedding technique called Prediction Error Expansion has been suggested. In the context of reversible data concealment, experimental results point towards a better gradient based prediction employing an prediction embedding technique.

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Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request. All the results obtained during the experimental analysis have been included in the research article. All the data sets including images, codes, plots, and results are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Department of CSE, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, India

    Ravi Uyyala

  2. Department of CSE, School of Engineering and Applied Sciences, SRM University-AP, Amaravati, Andhra Pradesh, India

    Sriramulu Bojjagani & Neeraj Kumar Sharma

  3. Department of Information Technology, Mahatma Gandhi Institute of Technology, Gandipet, Hyderabad, India

    Premkumar Chithaluru

  4. Department of CSE, Lakireddy Bali Reddy College of Engineering, Mylavaram, JNTUK, Kakinada, A.P, India

    Sree Rama Chandra Murthy Akuri

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  1. Ravi Uyyala
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Correspondence to Ravi Uyyala.

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Uyyala, R., Bojjagani, S., Sharma, N.K. et al. Selective Weighting and Prediction Error Expansion for High-Fidelity Images. SN COMPUT. SCI. 5, 850 (2024). https://doi.org/10.1007/s42979-024-03214-4

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