Eunjung Chae

Papers

Total Citations

H-Index

About

Eunjung Chae is a researcher whose work lies at the intersection of computational imaging and sensor technology, with a particular focus on restoring clarity from optical imperfections. Her most cited contribution, "Fast Image Restoration for Spatially Varying Defocus Blur of Imaging Sensor" (2015, 29 citations), addresses a fundamental challenge in digital photography: the removal of non-uniform blur caused by varying depths of field. Chae’s key innovation lies in her adaptive approach—she first estimates the parameters of the space-variant point-spread function (PSF) by analyzing derivatives within uniformly blurred regions, then applies a fast restoration algorithm tailored to each region. This method significantly improves both the speed and accuracy of deblurring for general imaging sensors, making it practical for real-world applications. While her citation count reflects a focused but impactful contribution, Chae’s work is notable for bridging theoretical image processing with practical sensor limitations, offering a computationally efficient solution to a problem that often plagues consumer and industrial cameras. Her research continues to influence the development of smarter, more resilient imaging systems.