TY - JFULL AU - M. B. Meenavathi and K. Rajesh PY - 2007/3/ TI - Volterra Filtering Techniques for Removal of Gaussian and Mixed Gaussian-Impulse Noise T2 - International Journal of Electrical and Computer Engineering SP - 183 EP - 190 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/13044 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 2, 2007 N2 - In this paper, we propose a new class of Volterra series based filters for image enhancement and restoration. Generally the linear filters reduce the noise and cause blurring at the edges. Some nonlinear filters based on median operator or rank operator deal with only impulse noise and fail to cancel the most common Gaussian distributed noise. A class of second order Volterra filters is proposed to optimize the trade-off between noise removal and edge preservation. In this paper, we consider both the Gaussian and mixed Gaussian-impulse noise to test the robustness of the filter. Image enhancement and restoration results using the proposed Volterra filter are found to be superior to those obtained with standard linear and nonlinear filters. ER -