- Students Info
(Link to project documentation folder to be placed here)
When taking a picture there is a blur and an additive noise that derives from optical and mechanical aspects of the camera. These flaws are often preventing us from detecting small yet important details in certain pictures. In this project we will try to improve the resolution of “Printed Circuit Board” images that are used to detect flaws on the board. In the first part we will use the classical methods and check the improvement over the blurred image. In the second part of the project we will test new advanced methods of applying partial differential equations (iteratively) in order to improve the resolution, and compare it to the previous part.
High resolution image
Low resolution image
figure 1: Example of high and low resolution
To bring the low-resolution image as close as possible to the high-resolution image.
Average PSF (Point Spread Function) variances lead to great results: clearer and sharper borders , easily recognizable flaws.