Single Image Blind Deblurring
Vahida Attar, Rucha Sathe, Yash S. Shah, Dhruv Kudale · 2021
With the growth of technology and digital media, images have started playing a critical role not only in our day-to-day lives but also in fields like Biology and Astronomy to name a few. However, images prove to be useful only when they can successfully convey information to a viewer. Blurred images are lacking in this aspect and deblurring images to extract useful data from them is the need of the hour. Through this research, we have attempted to develop a generic solution to deblur images affected by uniform motion and focus blur. Apart from achieving the feat of being able to tackle multiple types of blur, our work has shown to be at par with its competitors in terms of the Peak Signal to Noise Ratio metric and the precision factor of the new and developing Object Detection metric.