Some improvements to HVS models for fingerprinting in perceptual decompressors

This paper proposes some modifications to reference models of the human visual system for the benefit of a best performing fingerprinting scheme inside wavelet decompressors. Two new algorithms have been developed, based on more accurate modeling for luminance masking and on experimental tests for texture masking. In order to manifest the improvements, the insertion gain of the masks relative to non-perceptual watermarking schemes is calculated and compared to the one obtained by the reference technique. Also, the masks' energy distribution is checked to validate them as weighting functions of the watermark.