Optical Aberrations Correction in Postprocessing Using Imaging Simulation

As the popularity of mobile photography continues to grow, considerable effort is being invested in reconstruction degraded images. Due spatial variation optical aberrations, which cannot be avoided during lens design process, recent commercial cameras have shifted some these correction tasks from postprocessing systems. However, without engaging with parameters, systems only achieve limited for aberrations.In this work, we propose a practical method recovering degradation caused by aberrations. Specifically, establish an imaging simulation system based on our proposed point spread function model. Given parameters camera, it generates results specific devices. To perform restoration, spatial-adaptive network model synthetic data pairs generated system, eliminating overhead capturing training large amount shooting and registration. Moreover, comprehensively evaluate simulations experimentally customized digital-single-lens-reflex (DSLR) camera HUAWEI HONOR 20, respectively. The experiments demonstrate that solution successfully removes spatially variant blur color dispersion. When compared state-of-the-art deblur methods, approach achieves better lower computational overhead. technique does not introduce artificial texture convenient transfer current cameras. Project Page: \url{https://github.com/TanGeeGo/ImagingSimulation}.