A Fuzzy Low-pass Filter for Image Noise Reduction

Digital imaging devices become popular and have replaced analog ones since the invention and development of digital signal processing technology several years ago. A common problem in digital image is noise, which is often happened when the imaging devices such as digital camera, cctv, camcorder, are used in a poor lighting scene. To overcome this problem, many methods have been introduced. We proposed a new fuzzy low-pass filter to reduce additive noise in digital color image. This method is based on the low-pass filter concept in electronics engineering, which is combined with fuzzy theory. The experiment of several benchmark images shows the increased image quality and PSNR value, compared to the state-of-the-art filters. This method could be a potential alternative to be implemented in digital imaging devices or image processing activities using computers.