A Novel Discrete Wavelet Transform based Digital Gray Scale ImageSteganography Technique

The major target of digial image steganography are inconspicous of the front image and there is no chance to recover the secret image from the stegao image. To face these targets, a novel Discrete Wavelet Transform (DWT) based Digital Image Steganography Technique is proposed. In this given technique, two newideas are introduced. Mainly, the focus point is minimizing the distortion in the cover image and make a good quality stegao image. The first procedure which is related to the secret key computation concept is initiated to build it more rigorous and defiant concerning about steganalysis. The next procedure which is partitioning or blocking comes into play for ensuring the least blurring and variation in the stego iamge as well as cover image. The given technique or approach is applied on five different types of cover images and two secret images. The proposed technique results are very virtous when compared with three most popular steganography techniques in terms of PSNR and CC. Data Hiding metrics are Peak Signal to Noise Ratio (PSNR) and Correlation Coefficient (CC) and in this the proposed technique performs much better than other techniques. There are several types of attacks in digital image steganography which can applied on generated stegao image for checking the quality and robustness of the image. Mainly, The proposed technique tested over the six image processing attacks and the steadiness of the given approach is good. The results in the tables explain the steadiness of the giventechnique under six-image processing attacks. Both stegano-image and extracted secret images possessa much better perceptible quality.