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The Haar transform is an important signal transform that converts real input to real output, and it has been applied in various tasks in signal and image processing. The M-dimensional Real Transform (MRT) is a recently developed transform, and it shares the real-to-real conversion property of the Haar transform. This paper attempts to study the relationships between these two transforms.

Hybrid Image watermarking scheme proposed based on Discrete Cosine Transform (DCT)-Discrete Wavelet Transform (DWT)-Singular Value Decomposition (SVD). The cover image is reordered before DCT is applied. The DCT coefficients of the reordered image are decomposed into sub bands using DWT. The singular values of the middle sub bands are found and watermark is embedded. Simulation results shows that this method can survive attacks like rotation, cropping, JPEG compression and noising attacks and also can be used for copyright protection of multimedia objects.