Sinkron : Jurnal dan Penelitian Teknik Informatika
Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019

Enhancing the Quality of Cellular Camera Video With Convolutional Neural Network

Tampubolon, Hotman Parsaoran (Unknown)
Sinurat, Watas (Unknown)
Gulo, Steven Eduard (Unknown)
Gulo, Befi Juniman (Unknown)
Husein, Amir Mahmud (Unknown)



Article Info

Publish Date
17 Oct 2019

Abstract

Abstrak— At present technological developments, especially in the field of computer vision, are showing significant performance such as the application of convolutional neural networks that have a very high degree of accuracy, for example improving video quality which recently has image restoration such as super resolution (VSR) thanks to deep learning with the aim of helping produce better visual videos. The use of video cameras for mobile devices is now increasingly highly developed. Nowadays mobile devices are experiencing a rapid increase in quality especially in cameras. However, physical limitations such as the small sensor size, compact lens and the lack of supporting hardware can prevent cellular devices from achieving good video camera quality results. For that many method approaches are applied, one of which is the CNN (Convolutional Neural Network) method. This method can improve the image of video recordings that have poor quality. Keywords—Convolutional neural network, computer vision, Improved video quality ;

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Journal Info

Abbrev

sinkron

Publisher

Subject

Computer Science & IT

Description

Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial ...