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CNN Predictor for Reversible Data Hiding by shubhammakhija19 is a document available to read on EtoBox.

This document presents a new convolutional neural network (CNN)-based predictor for reversible data hiding (RDH), which improves prediction accuracy by dividing the cover image into four independent parts and utilizing all 8-neighbor pixels for prediction. The proposed method achieves a sharply distributed prediction-error histogram, leading to better visual quality in RDH compared to traditional predictors. Experimental results demonstrate that the CNN-based predictor outperforms existing methods in terms

Author

shubhammakhija19

Language

EN