Design a model of Image Restoration using AI in Digital Image Processing
| Autor: | Chetana Tukkoji, Boosi Shyamala, Dioline Sara, Archana S Nadhan |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry General Mathematics Motion blur ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Facial recognition system Education Computational Mathematics Computational Theory and Mathematics Distortion Digital image processing Computer vision Noise (video) Artificial intelligence Focus (optics) business Image restoration |
| Zdroj: | Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12:862-865 |
| ISSN: | 1309-4653 |
| Popis: | Image restoration is the process of obtaining a distorted/noise image and giving an approximate clear image of the original image. False focus, motion blur and noise are forms of distortion. Image restoration can be done by reversing the process called Point Extension Function (PSF). In this process, the blurred image is generated by point source imaging and can be used to restore the image lost due to the blur process. Like to form. Modern artificial intelligence (AI) applied to image processing includes facial recognition, object recognition and detection, video, image action, and visual search. It helps to develop smart applications in digital image processing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|