An efficient Architecture for Barrel Distortion Correction in Surveillance camera images

Barrel Distortion Correction algorithm has been widely used to eliminate the distorted image
in the wide angle camera. The distortion occurred due to lens dislocation in the camera. Nowadays,
various image Processing algorithm are developed to correct this distortion. In this Proposed work Design
of an efficient Architecture for correcting this distortion. The proposed architecture consist of Backward
Mapping and linear interpolation units. FPGA family Devices like Cyclone II, Cyclone III, Stratix II and
Stratix III are used for verifying the Parameters such as LUT, Power and Time can be measured and
compared. The Backward Mapping is done here with linear interpolation. The power consumption and
time taken for correcting the distortion is reduced.