The rapid development of the Internet and digital information revolution caused significant changes in the global society. Digital watermarking has been proposed a new alternative method to enforce the intellectual property rights and protect digital media from tampering .In the recent past several watermarking algorithms have been proposed. The  transforms used very often by watermarking algorithms are DFT, DCT and DWT. In this paper we consider content based features like texture, luminance, corners and the edges information to generate mask(JND: just Noticeable Distortion)  that helps hidden water mark less perceptible to the human eye. It involves a process of embedding into a host signal a perceptually transparent digital signature, carrying a message about the host signal in order to mark its ownership. The digital signature is called the digital watermark.In particular watermarking algorithms which are based on the wavelet transform have been widely recognized to be more prevalent than others. This is due to the wavelets’ excellent spatial localization, frequency spread, and multi-resolution  characteristics, which are similar to the theoretical models of human visual system.  In this proposed method, we describe an imperceptible and a robust combined DWT-DCT digital image watermarking algorithm along with the JND values. Experimental results are evaluated with correlation and WPSNR. We can show that this method is more robust than the DCT with the JND values.