Image Blurring

Image blurring, caused by factors like camera shake or motion, degrades image quality and hinders accurate analysis in various applications. Current research focuses on developing robust deblurring methods, employing deep learning architectures like convolutional neural networks and exploring novel approaches such as multi-model strategies and incorporating contextual information to improve accuracy and efficiency. These advancements are crucial for improving image quality in diverse fields, ranging from medical image analysis to computer vision and virtual/augmented reality, enabling more reliable and accurate results in these applications.