Padikkal, P.George, S.2026-02-052011International Journal of Signal and Imaging Systems Engineering, 2011, 4, 4, pp. 238-24717480698https://doi.org/10.1504/IJSISE.2011.044541https://idr.nitk.ac.in/handle/123456789/27331Curvature 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.DiffusionGauss curvatureImage enhancementShock filter