A low-complexity noise removal technique and its hardware implementation
T Matsubara, Vasily G. Moshnyaga, Koji Hashimoto · 2010
Impulse noise removal is a very important preprocessing operation in many computer vision applications. This paper presents a noise removal approach based on a simple conditional technique. As evaluations show, the presented technique performs significantly better than standard median filter and achieves superior image quality. Experimental FPGA implementation of the proposed technique for window size of (3 × 3) pixels is compact, fast and consumes low-power.