TY - JOUR ID - 73032 TI - Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Tang, R. AU - Zhou, X. AU - Wang, D. AD - School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China Y1 - 2017 PY - 2017 VL - 30 IS - 10 SP - 1503 EP - 1509 KW - Image Denoising KW - impulse noise removal KW - salt and pepper noise KW - adaptive median filter (AMF) DO - N2 - Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizing the main disadvantages of the conventional median filters, this paper proposes a new kind of median filter algorithm based on the detection of impulse noise points. The performance of the proposed algorithm is compared with the conventional standard median filter (SMF), extremum median filter (EMF), and adaptive median filter (AMF). Experimental results under various noise intensities show that the proposed method has better denoising performance and detail preservation compared with the other denoising methods. UR - https://www.ije.ir/article_73032.html L1 - https://www.ije.ir/article_73032_817dd1c18ca1eaa98c788bdc059e8fe2.pdf ER -