Progression approach for image denoising

Bilal Charmouti (Universiti Malaysia Perlis (UniMAP))
Ahmad Kadri Junoh (Universiti Malaysia Perlis (UniMAP))
Mohd Yusoff Mashor (Universiti Malaysia Perlis (UniMAP))
Najah Ghazali (Universiti Malaysia Perlis (UniMAP))
Mahyun Ab Wahab (Universiti Malaysia Perlis (UniMAP))
Wan Zuki Azman Wan Muhamad (Universiti Malaysia Perlis (UniMAP))
Zainab Yahya (Universiti Malaysia Perlis (UniMAP))
Abdesselam Beroual (International Islamic University Malaysia)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 17, No 6: December 2019

Removing noise from the image by retaining the details and features of this treated image remains a standing challenge for the researchers in this field. Therefore, this study is carried out to propose and implement a new denoising technique for removing impulse noise from the digital image, using a new way. This technique permits the narrowing of the gap between the original and the restored images, visually and quantitatively by adopting the mathematical concept ''arithmetic progression''. Through this paper, this concept is integrated into the image denoising, due to its ability in modelling the variation of pixels’ intensity in the image. The principle of the proposed denoising technique relies on the precision, where it keeps the uncorrupted pixels by using effective noise detection and converts the corrupted pixels by replacing them with other closest pixels from the original image at lower cost and with more simplicity.