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Jinhee Lee,Joonki Paik IET 2013 IET image processing Vol.7 No.1
<P>This study presents a spatially varying image registration method based on regions of the same depth. The proposed registration method uses phase correlation matching to measure colour shifting vectors (CSVs) between colour channels in a pre-specified region of the same distance to the camera, and aligns colour channels of the corresponding region according to the CSV. The authors also present the foreground region detection method by using binary edge labelling and analysis of histograms of channel-shifting features. The major contribution of this study is 2-fold: (i) the proposed method can be considered as a region-wise approximated version of fully non-rigid registration, which is widely used in the medical imaging area, and (ii) it can compensate misalignment between red (R), green (G) and blue (B) colour channels caused by refraction and chromatic aberration of a multiple colour-filtered aperture (MCA) camera, which has been proposed as a single camera-based multifocusing system. Among various applications of non-rigid image registration, the proposed region-based registration method is particularly suitable for multifocusing images acquired by an MCA camera. In depth analysis of each step of the proposed algorithm is provided with experimental results, and its application to the MCA camera is also provided to realise efficient depth estimation and highly accurate multifocusing functions using a single camera. Without using joint histogram or geometric transformation, the proposed region-adaptive approach successfully approximates the fully non-rigid registration with significantly reduced amount of computation.</P>
Kim, Daehee,Paik, Joonki The Society 2015 Journal of the Optical Society of America. A, Opti Vol.32 No.7
<P>Recently, various cameras have been embedded in vehicles for driver safety and convenience. In this context, a backup rear-view camera has attracted increasing attention in helping drivers' parking convenience. Preinstallation of a rear-view camera requires the calibration of a wide-angle lens, such as a fish-eye lens, and the registration of guidelines to the three-dimensional (3D) scene. The proposed method provides a novel simulation method for the optical distortion of a wide-angle lens in a vehicle rear-view camera. The proposed method consists of three steps: (i) generation of the 3D virtual space, (ii) field number-based viewing angle estimation, and (iii) distorted image generation in the 3D space. The major contribution of this work is the lens specification-based simulation of 3D distortion for accurate and efficient preinstallation of vehicle rear-view cameras. The proposed simulation method can also be used to design a general optical imaging system for intelligent surveillance and medical imaging.</P>