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Information Journal Paper

Title

Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images

Pages

  1503-1509

Abstract

 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.

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  • Cite

    APA: Copy

    TANG, R., ZHOU, X., & WANG, D.. (2017). Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images. INTERNATIONAL JOURNAL OF ENGINEERING, 30(10 (TRANSACTIONS A: Basics)), 1503-1509. SID. https://sid.ir/paper/723986/en

    Vancouver: Copy

    TANG R., ZHOU X., WANG D.. Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2017;30(10 (TRANSACTIONS A: Basics)):1503-1509. Available from: https://sid.ir/paper/723986/en

    IEEE: Copy

    R. TANG, X. ZHOU, and D. WANG, “Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 30, no. 10 (TRANSACTIONS A: Basics), pp. 1503–1509, 2017, [Online]. Available: https://sid.ir/paper/723986/en

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