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Curvature driven diffusion coupled with shock for image enhancement/reconstruction
by P. Jidesh; Santhosh George
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 4, No. 4, 2011

 

Abstract: Curvature 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.

 

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