Salt-and-pepper noise

Pattern recognition (psychology)

Mathematics

Noise (video)

Image (mathematics)

Filter (signal processing)

Artificial intelligence

Pepper

Computer science

Median filter

Computer vision

Computer security

Image processing

IET Image Processing

Noise is the information damage that may occur in the image due to the changes in information during the transmission process. In order to overcome these problems, it is necessary to do filtering process on the image. Until now many filtering algorithms have been proposed to remove noise. Most existing methods only work for low level noise. In this study, the authors proposed an efficient and easy‐to‐understand filtering algorithm using the concept of tropical algebra and singular value decomposition (SVD). The SVD will be used to detect noise in 3 × 3 templates. Furthermore, if noise is detected then new pixels will be obtained by using the concept of tropical operations. The results of this study show that the proposed method provides better results from the existing methods in terms of quantitative and visual.

Modified tropical algebra based median filter for removing salt and pepper noise in digital image