A blur estimation and detection method for out-of-focus images
| Autor: | Jian Sun, Yuzhen Hong, Enhai Liu, Guoqiang Ren |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Point spread function
Visual perception Computer Networks and Communications business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Measure (mathematics) Image (mathematics) Computer Science::Graphics Hardware and Architecture Computer Science::Computer Vision and Pattern Recognition 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Focus (optics) Software Image restoration |
| Zdroj: | Multimedia Tools and Applications. 75:10807-10822 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-015-2792-1 |
| Popis: | With the analysis of the features of image edge based on the defocused model of optical imaging system, a blur estimation and detection method for out-of-focus images is proposed. The essential idea is to estimate the parameter of the point spread function, which reflects the blurriness of image. Based on the notion, the proposed method estimates the parameter values by different straight edges in the image, and the parameter distribution is used to measure the image blurriness. Then it can determine whether an image is blurred or not by comparing with a predetermined threshold. Experiment results show that the proposed blur metric is highly correlated to subjective visual perception, and it can be implemented to estimate and detect the blurriness for out-of-focus images with different scenes. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink