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Abstract
Image denoising is a traditional task in image processing field and lot of research has been done on this issue. The need to improve denoising performance is a continuous challenge. In this paper, a review of the key ideas related with image denoising is presented and how this issue can be addressed using artificial neural networks as a standard nonparametric statistical tool for pattern recognition, clustering and discriminant analysis. The limitations of traditional fully connected multilayer perceptions on image processing are discussed and it is shown how we can deal with these limitations. This leads to the analysis of the currently used approach in this field known as convolutional neural networks and related Matlab toolboxes on image Processing and deep neural networks. These toolboxes use an available pre-trained denoising convolutional neural network (DnCNN). This existing framework is tested under real conditions and the outputs confirm two of the major claims behind the Matlab DnCNN: the blind denoising capabilities and low time used in the denoising task. Additionally, it was seen that the issue for low noise levels, with signal-to-noise Ratio (SNR) up to 6, the DnCNN will add more error than the noise to be removed. The last leads to suggestion that the use of DnCNN for low noise levels is worth further investigation.
Original language | English |
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Title of host publication | Proceedings of the EMerging Technology (EMiT) Conference 2019 |
Editors | M. K. Bane, V. Holmes |
Publisher | University of Huddersfield |
Pages | 36-39 |
Number of pages | 4 |
ISBN (Print) | 9780993342646 |
Publication status | Published - 9 Apr 2019 |
Event | 5th Emerging Technology Conference - University of Huddersfield, Huddersfield, United Kingdom Duration: 9 Apr 2019 → 11 Apr 2019 Conference number: 5 https://emit.tech/ (Link to Conference Website) |
Conference
Conference | 5th Emerging Technology Conference |
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Abbreviated title | EMiT 2019 |
Country/Territory | United Kingdom |
City | Huddersfield |
Period | 9/04/19 → 11/04/19 |
Internet address |
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Dive into the research topics of 'De-noising an Image Using Deep Learning Techniques'. Together they form a unique fingerprint.Activities
- 1 Oral presentation
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De-noising an Image Using Deep Learning Techniques
Hessah Alattal (Speaker), Faheem Khan (Speaker) & Qasim Ahmed (Speaker)
10 Apr 2019Activity: Talk or presentation types › Oral presentation