Image Enhancement with Complex Diffusion Based on Iterative Real Edge Attributes
Complex diffusion is one of the effective methods for image enhancement.The conventional complex diffusion algorithm uses the iterative imaginary part(Laplacian of the Gaussian kernel) to control the diffusion process.But for some attributes of the imaginary part,such as smoothness,time-dependent and second order derivative,there would be belt-like blurred area near the edges.Aiming at this drawback,this paper developed a new complex diffusion algorithm based on iterative real edge attributes.The results show that compared with the conventional algorithms,the new one can achieve better enhancing effects for blurred and noisy images.