Ant colony optimization based fuzzy image filter design for removal of impulse noises

The digital images are easily affected by the noises. If the image has serious damage or high-noise, the traditional image filters are usually unable to handle well. A new efficient impulse noise removal technique is presented in this paper. The advantages of the fuzzy system is utilized to improve the traditional median filter, and an ant colony optimization (ACO) algorithm is used to adjust the parameters of fuzzy image filter and make the filter to achieve better performance. From the MSE and PSNR points of view, the final image filtering results demonstrate the effectiveness and feasibility of the proposed method.