Paper
13 November 2014 Fast blur removal via optical computing
Jinli Suo, Tao Yue, Qionghai Dai
Author Affiliations +
Abstract
Non-uniform image blur caused by camera shake or lens aberration is a common degradation in practical capture. Different from the uniform blur, non-uniform one is hard to deal with for its extremely high computation complexity as the blur model computation cannot be accelerated by Fast Fourier Transform (FFT). We propose to compute the most computational consuming operation, i.e. blur model calculation, by an optical computing system to realize fast and accurate non-uniform image deblur. A prototype system composed by a projector-camera system as well as a high dimensional motion platform (for motion blur) or original camera lens (for optics aberrations) is implemented. Our method is applied on a series of experiments, either on synthetic or real captured images, to verify its effectiveness and efficient.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinli Suo, Tao Yue, and Qionghai Dai "Fast blur removal via optical computing", Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 92790R (13 November 2014); https://doi.org/10.1117/12.2071677
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical computing

Cameras

Computing systems

Imaging systems

Convolution

Image processing

Deconvolution

Back to Top