Fourth Order Method for Image Denoising Based on Gaussian Curvature
A novel fourth order PDE model for image denoising is presented in this paper. Gaussian curvature is integrated into the construction of geometrical energy functional within within the geometrical framework for image processing. The corresponding time dependent PDE model is a combination of three fourth order terms and a third order term with some feasible constrains. Image denoising is attained by surface evolution driven with Gaussian curvature. The new model avoids staircase effect and preserves edges while smoothing noise. Experimental results are given to demonstrate the performance of the proposed method.
Fourth order geometrical framework edge- preserving Gaussian curvature image denoising
Bibo Lu Qiang Liu
School of Computer Science and Technology Henan Polytechnic University Jiaozuo, China, 454003 College of Mathematics and computational science Shenzhen University Shenzhen, China
国际会议
重庆
英文
608-611
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）