Jidesh, P.George, S.2020-03-312020-03-312011International Journal of Signal and Imaging Systems Engineering, 2011, Vol.4, 4, pp.238-247https://idr.nitk.ac.in/handle/123456789/11001Curvature driven diffusion is widely used for image denoising and inpainting. Among the curvature driven diffusion techniques Gauss Curvature Driven Diffusion (GCDD) became a prominent image denoising method due to its capability to retain some important structures with non zero curvatures, like curved edges, corners etc. Unlike many other non-linear diffusion techniques, the curvature driven diffusion hardly has any inverse diffusion characteristics. In this work we propose to introduce a shock term along with the GCDD term to enhance the edges while smoothing-out the noise. This technique will preserve some important structures and enhance them while denoising the image. The experiments clearly demonstrates the efficiency of the method. Copyright 2011 Inderscience Enterprises Ltd.Article