Our encoder-decoder architecture, featuring a novel up-sampling block in the decoder, is adaptable to diverse backbone networks. Employing two critical loss functions, data fidelity and perceptual ...

Three modules, namely GMM, GFFRM and MFIM, are embedded in U-shaped encoder-decoder architecture to establish a novel RDH predictor GURNet. Extensive experiments implemented on four publicly available ...