Noise Reduction of Depth Cameras Images Based on Deep Neural Network
Today, infrared sensors or depth sensors are widely used to control applications, games, information acquisition, dynamic and static 3D scenes. Despite the widespread use of these images, their quality is limited to low-quality images, as the infrared sensor does not have high resolution and the ima...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
OICC Press
2024-02-01
|
| Series: | Majlesi Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://oiccpress.com/mjee/article/view/4887 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850085830201180160 |
|---|---|
| author | Alireza Ghasemi Mohsen Ashourian |
| author_facet | Alireza Ghasemi Mohsen Ashourian |
| author_sort | Alireza Ghasemi |
| collection | DOAJ |
| description | Today, infrared sensors or depth sensors are widely used to control applications, games, information acquisition, dynamic and static 3D scenes. Despite the widespread use of these images, their quality is limited to low-quality images, as the infrared sensor does not have high resolution and the images produced by it have noise. Therefore, given the problems and the importance of using 3-D images, the quality of these images should be improved in order to provide accurate images from depth cameras. In this paper, the noise reduction of depth images using convolutional neural networks is considered. A convolutional neural network with a depth of 20 and three layers and a pre-trained neural network is used. We developed the system and tested its performance for two datasets of depth and color images, Middlebury and EURECOM Kinect Face. Results show that for EURECOM Kinect Face images, PSNR improvement is approximately 8 to 15 dB and for Middlebury images the PSNR improvement is about 5 to 14 dB. |
| format | Article |
| id | doaj-art-0f55ec3b6e49424398e4e4c1a80d5a8d |
| institution | DOAJ |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | OICC Press |
| record_format | Article |
| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-0f55ec3b6e49424398e4e4c1a80d5a8d2025-08-20T02:43:38ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962024-02-0114310.29252/mjee.14.3.12Noise Reduction of Depth Cameras Images Based on Deep Neural NetworkAlireza GhasemiMohsen AshourianToday, infrared sensors or depth sensors are widely used to control applications, games, information acquisition, dynamic and static 3D scenes. Despite the widespread use of these images, their quality is limited to low-quality images, as the infrared sensor does not have high resolution and the images produced by it have noise. Therefore, given the problems and the importance of using 3-D images, the quality of these images should be improved in order to provide accurate images from depth cameras. In this paper, the noise reduction of depth images using convolutional neural networks is considered. A convolutional neural network with a depth of 20 and three layers and a pre-trained neural network is used. We developed the system and tested its performance for two datasets of depth and color images, Middlebury and EURECOM Kinect Face. Results show that for EURECOM Kinect Face images, PSNR improvement is approximately 8 to 15 dB and for Middlebury images the PSNR improvement is about 5 to 14 dB.https://oiccpress.com/mjee/article/view/4887Convolution neural networksDepth Camera ImagesImage EnhancementNoise Reduction |
| spellingShingle | Alireza Ghasemi Mohsen Ashourian Noise Reduction of Depth Cameras Images Based on Deep Neural Network Majlesi Journal of Electrical Engineering Convolution neural networks Depth Camera Images Image Enhancement Noise Reduction |
| title | Noise Reduction of Depth Cameras Images Based on Deep Neural Network |
| title_full | Noise Reduction of Depth Cameras Images Based on Deep Neural Network |
| title_fullStr | Noise Reduction of Depth Cameras Images Based on Deep Neural Network |
| title_full_unstemmed | Noise Reduction of Depth Cameras Images Based on Deep Neural Network |
| title_short | Noise Reduction of Depth Cameras Images Based on Deep Neural Network |
| title_sort | noise reduction of depth cameras images based on deep neural network |
| topic | Convolution neural networks Depth Camera Images Image Enhancement Noise Reduction |
| url | https://oiccpress.com/mjee/article/view/4887 |
| work_keys_str_mv | AT alirezaghasemi noisereductionofdepthcamerasimagesbasedondeepneuralnetwork AT mohsenashourian noisereductionofdepthcamerasimagesbasedondeepneuralnetwork |