Patent ID: 11893094
Assignee: UNIVERSITY OF SHARJAH
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. A method of data hiding based on automatically identifying insignificant frequency coefficients C from a vector of frequency coefficients V, the method comprising the steps of:
selecting a JPEG quantization matrix Q and normalizing the JPEG quantization matrix Q;
extracting a diagonal of the matrix Q and resizing the diagonal of the matrix to match the size of the vector of frequency coefficients V;
dividing the resized vector d′ by the frequency coefficients element by element, and flooring the resultant vector div (div′);
finding indices of zeros in the floored resultant vector div′ (Loc) and extracting the frequency coefficients at Loc;
adopting a discrete cosine transform (DCT) to express a deep neural network (DNN) weights vector within significant DCT coefficients, leaving a plurality of insignificant coefficients to host part of a digital watermark,
strengthening a compaction property of the DCT when applied to correlated segments of data, and therefore, weights are segmented into correlated segments before applying the DCT.