After the reconstruction of the 3D material microstructure, the proposed spatiotemporal algorithm thereafter extracted the fracture features by employing multiple image processing techniques for quantitative analysis.
Fig. 8 Methodology of assessing our multiple-image SR technique.
Multiple-image SR technique will be applicable if each LR image present in a given set contains unique information.
In this study, we explored the multiple-image SR technique on a mobile device by utilizing a set (N=10) of observed LR images, that denote the same scene.
In this paper, we developed a prototype application that utilizes a mobile device's camera to take pictures and applied a classical multiple-image SR technique that utilized a set of LR images.
In this technique, multiple images are taken with different exposure parameters, and an HDR image is synthesized from these images.
The basic idea of such methods is to exploit the advantages of multiple images by using image fusion techniques.
In our method, the use of multiple images and the relaxation labeling technique reduce the erroneous match (H17a).
This technique uses multiple images taken in a row with different exposures to more accurately capture areas of the image that might have been underexposed or overexposed in a single exposure.
We propose inpainting techniques that employ multiple images from different viewpoints.
