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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Image Quality Enhancement using Deep Learning |
| Authors Name: | Anila S , Abin P Francis , Ajai Saju , Ashwin Sundar |
| Unique Id: | IJSDR2305338 |
| Published In: | Volume 8 Issue 5, May-2023 |
| Abstract: | Image enhancement is a process of improving the visual quality of an image by reducing noise, enhancing details, and correcting distortions. Deep learning techniques have demonstrated promising results in various image processing tasks, including image enhancement. This paper proposes a deep learning-based method for image enhancement, which employs a convolutional neural network (CNN) to learn the relationship between degraded and enhanced images. The proposed method consists of two main components, a degradation network that emulates common image degradations, and an enhancement network that generates the enhanced image from the degraded input image. A large dataset of degraded and corresponding enhanced images is used to train the network. The effectiveness of the proposed method is evaluated on several benchmark datasets, and its performance is compared with existing stateof-the- art methods. Results indicate that the proposed method outperforms existing methods in terms of both objective metrics and subjective visual quality. Furthermore, the proposed method is demonstrated to be effective in various real-world applications, such as low-light image enhancement and image denoising. This study suggests that the proposed method has the potential to enhance the visual quality of images in a variety of applications, including surveillance, medical imaging, and remote sensing. |
| Keywords: | Auto encoder, Enhanced Deep Super Resolution |
| Cite Article: | "Image Quality Enhancement using Deep Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2148 - 2154, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305338.pdf |
| Downloads: | 000337209 |
| Publication Details: | Published Paper ID: IJSDR2305338 Registration ID:206790 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 2148 - 2154 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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