Low resolution image area classifier based on Convolutional Neural Network
| dc.contributor.author | Ngernplubpla, Jaturon | |
| dc.contributor.author | Warunsin, Kulwarun | |
| dc.contributor.author | Chitsobhuk, Orachat | |
| dc.date.accessioned | 2026-08-06T10:32:37Z | |
| dc.date.available | 2026-08-06T10:32:37Z | |
| dc.date.issued | 2021-05-19 | |
| dc.description.abstract | Deep learning techniques are widely implemented in computer vision applications. The Convolutional Neural Networks (CNN) is a deep learning class that is the most effective in categorizing the statistical characteristics of images. It is often a challenging task to classify the frequency level region in various low-resolution image. In this research, we proposed the CNN for classification of gradient profile priors by learning on several gradient characteristics such as horizontal gradient acceleration, vertical gradient acceleration, the Relational Gradient Direction and Edge Sketch Image. This technique is used multiple building blocks to designed features through backpropagation with automatic and adaptive spatial hierarchies learning. The performance comparison was improved in classification of the frequency level area in various low-resolution image input that was illustrated in the experimental results which evaluate with several predictive and conventional classification techniques. | |
| dc.identifier.citation | Ecti Con 2021 2021 18th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Smart Electrical System and Technology Proceedings, 246-249, 2021 | |
| dc.identifier.doi | 10.1109/ECTI-CON51831.2021.9454918 | |
| dc.identifier.other | 2-s2.0-85112860931 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/12037 | |
| dc.source | Ecti Con 2021 2021 18th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology Smart Electrical System and Technology Proceedings | |
| dc.subject | CNN | |
| dc.subject | Convolutional Neural Network | |
| dc.subject | Deep learning | |
| dc.subject | Gradient prior | |
| dc.subject | Gradient profile generation | |
| dc.subject | Low resolution | |
| dc.title | Low resolution image area classifier based on Convolutional Neural Network | |
| dc.type | Conference Paper |