Digital watermarking is the act of hiding a message related to a digital signal (i.e. an image, song, video) within the signal itself. It is a concept closely related to steganography, in that they both hide a message inside a digital signal. Watermarking has a number of uses in security, authentication and registration purposes. Image Watermarking is a widely sought after research area and many researchers have done extensive study on various aspects of digital image watermarking. Out of those techniques DWT based techniques are quite popular. In this research work a novel algorithm has been presented for Digital Image Watermarking, which uses the DWT technique to perform Watermark embedding and extraction process. The wavelet filter are of many kinds and erstwhile research have been mostly carried on ‘haar’ and ‘daubechies’ wavelet filter. In this research work, ‘symlets’ and ‘coiflet’ filters have been used. A comparative study of results in terms of PSNR and MSE with other filters is also available to give a better reasoning and insight.