Analogy among Different Conventional Watermarking Transforms and Noise Removing Filters against Various Attacks

Nowadays improving lossless data hiding methods is on demand. For this demand, here in this paper the conventional transforms-Discrete Cosine Transform (DCT), Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT) have been implemented to do watermark on various host images. To find out which transform method is more reliable and lossless, the performance parameters-Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR) are analyzed here. To compare the robustness among the methods, the watermarked images have been attacked by various noises. Different noise removing filters have been run over the noisy images to find out an appropriate filter for a corresponding noise.