title: Image quality enhancement using original lens via optical computing.
abstract: High-end lenses are usually composed of many optical elements to compensate various optical aberrations, e.g. geometric distortion, monochromatic and chromatic aberrations. The resulting complexity and machining accuracy requirements make high-end lenses too expensive, heavy, and fragile for day-to-day photography. To address this problem, we devised an optical computing approach to touch-up the low quality photos produced by simpler lenses. We propose a setup consisting of an easily accessible display and the original camera in order to perform optical aberration correction with a deconvolution framework. The equivalence of the degeneration model and the lens's optical computing turns the traditional blind deconvolution algorithm into its non-blind counterpart and promises robust performance. A prototype system is implemented to verify the feasibility of the proposed method, and a series of experiments on both synthetic and captured images are applied to demonstrate effectiveness and performance.
authors.forename: Tao
authors.initials: T
authors.lastname: Yue
authors.forename: Jinli
authors.initials: J
authors.lastname: Suo
authors.forename: Yudong
authors.initials: Y
authors.lastname: Xiao
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.forename: Qionghai
authors.initials: Q
authors.lastname: Dai
mesh_terms: D016477:Artifacts; D002138:Calibration; D007089:Image Enhancement; D007909:Lenses; D055620:Optical Phenomena