Optical Aberration Correction

Optical aberration correction aims to mitigate image distortions caused by imperfections in optical systems, improving image quality for various applications. Current research focuses on developing computational methods, often employing neural networks, to correct aberrations in post-processing, leveraging techniques like imaging simulation and prior quantization to enhance accuracy and efficiency. These advancements are particularly impactful for mobile and consumer photography, enabling higher-quality images from compact and cost-effective camera systems, and also improving the performance of downstream tasks like semantic segmentation in machine perception. The field is actively exploring optimal strategies for combining hardware and software solutions for aberration correction, leading to more efficient and effective designs.