Award-winning processing technique cuts out noise from real-world images

Modern electronic devices are capable of producing high-quality images, but the process of acquiring and processing images is complex. Sometimes, disruptions in signals that produce images lead to “noise,” which causes the images to be blurry or of poor quality. To correct these “noisy” images, one type of approach involves the addition of synthetic noise to a noise-free image. But, this method is flawed, as these artificial noisy images are very different from real-word images.