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Image Denoising Using a Nonlinear Pixel-Likeness Weighted-Frame Technique

P. Vinayagam1,*, P. Anandan2, N. Kumaratharan3

1 Department of ECE, Velammal Engineering College, Chennai, Tamilnadu, India
2 Department of ECE, C. Abdul Hakeem College of Engineering & Technology, Melvisharam, India
3 Department of ECE, Sri Venkateswara College of Engineering, Sriperumbudur, India

* Corresponding Author: P. Vinayagam. Email: email

Intelligent Automation & Soft Computing 2021, 30(3), 869-879. https://doi.org/10.32604/iasc.2021.016761

Abstract

Recent advances in the development of image denoising applications for eliminating the various sources of noise in digital images have employed hardware platforms based on field programmable gate arrays for attaining speed and efficiency, which are essential factors in real-time applications. However, image denoising providing for maximum denoising performance, speed, and efficiency on these platforms is subject to constant innovation. To this end, the present work proposes a high-throughput fixed-point adaptive edge noise filter architecture to denoise digital images with additive white Gaussian noise in realtime using a nonlinear modified pixel-likeness weighted-frame technique. The proposed architecture works in two stages. The first stage involves normal and conditional sorting. The second stage is a decision-oriented output selection unit. Decision-oriented adaptive windowing is included for better impulse noise suppression and edge preservation. The denoising performance of the proposed denoising scheme is demonstrated to be superior to those currently available state-of-the-art approaches. Moreover, the power consumption is reduced by 25.01% compared to conventional algorithms.

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APA Style
Vinayagam, P., Anandan, P., Kumaratharan, N. (2021). Image denoising using a nonlinear pixel-likeness weighted-frame technique. Intelligent Automation & Soft Computing, 30(3), 869-879. https://doi.org/10.32604/iasc.2021.016761
Vancouver Style
Vinayagam P, Anandan P, Kumaratharan N. Image denoising using a nonlinear pixel-likeness weighted-frame technique. Intell Automat Soft Comput . 2021;30(3):869-879 https://doi.org/10.32604/iasc.2021.016761
IEEE Style
P. Vinayagam, P. Anandan, and N. Kumaratharan "Image Denoising Using a Nonlinear Pixel-Likeness Weighted-Frame Technique," Intell. Automat. Soft Comput. , vol. 30, no. 3, pp. 869-879. 2021. https://doi.org/10.32604/iasc.2021.016761



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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