Abstract
The purpose of this study is to improve the image quality in videos by enhancing their contrast using Histogram Equalization (HE), contrast stretching, and CLAHE techniques. The video was extracted into several frames, and these frames were subsequently processed with image processing methods. The empirical data comprised a primary dataset of 606 video recordings, sourced from therapists and parents of children with Autism Spectrum Disorder (ASD). Mean Squared Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) metrics were used to evaluate the results. The gray level scale of Histogram Equalization (HE), contrast stretching, and CLAHE has MSE values of 99.79, 90.23, and 10.02, respectively, and PSNR values of 17.44 dB, 11.66 dB, and 38.51 dB, respectively. Therefore, CLAHE demonstrated superior performance, yielding the best MSE and PSNR values.
| Original language | English |
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| Title of host publication | 2024 International Seminar on Intelligent Technology and Its Applications |
| Subtitle of host publication | Collaborative Innovation: A Bridging from Academia to Industry towards Sustainable Strategic Partnership, ISITIA 2024 - Proceeding |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 621-626 |
| Number of pages | 6 |
| Edition | 2024 |
| ISBN (Electronic) | 9798350378573 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 - Hybrid, Mataram, Indonesia Duration: 10 Jul 2024 → 12 Jul 2024 |
Conference
| Conference | 25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024 |
|---|---|
| Country/Territory | Indonesia |
| City | Hybrid, Mataram |
| Period | 10/07/24 → 12/07/24 |
Keywords
- ASD
- Child Health
- CLAHE
- Contrast Stretching
- Histogram Equalization
- Video