Performance Evaluation of Non Sinusoidal Wavelets for Partial Image Scrambling Using Kekre's Walsh Sequency

Image security is an important aspect in Digital image processing. There are number of ways of securing digital data. The most common form being, the scrambling or encryption method. In this paper, Partial image scrambling method is proposed using Non Sinusoidal wavelets, the image is scrambled in the wavelet domain using Kekre's Walsh Sequency algorithm and then an inverse transform is applied to get the scrambled image in spatial domain. The scrambling in wavelet domain helps resists against statistical attacks. From the experimental results it can be seen that in cases where L component of the wavelet is included the scrambled image performs better. The choice in components for scrambling helps achieve good compression hence reduces the computations required. The best performers are the Kekre and Slant Wavelet.