KEYWORDS: Panoramic photography, Image enhancement, Night vision, Image segmentation, Image processing algorithms and systems, Image processing, Detection and tracking algorithms, Digital signal processing, Night vision systems, Edge detection
Based on single panoramic annular lens optical system and external-low-luminance CCD sensors, 360-degree panoramic
night vision image processing hardware platform were established. The night vision panoramic image algorithm was
presented, grounding on the image segmentation and multimode displaying technology. The annular image can be unwrapped and
corrected to conventional rectangular panorama by the panoramic image unwrapping algorithm. The night vision image enhancement
algorithm, based on adaptive piecewise linear gray transformation (APLGT) and Laplacian of Gaussian (LOG) edge detection, were
given. APLGT algorithm can be adaptively truncate the image histogram on both ends to obtain a smaller dynamic range so as to
enhance the contrast of the night vision image. LOG algorithm can be propitious to find and detect dim small targets in night vision
circumstance. After abundant experiment, the algorithm for night vision panoramic image was successfully implemented
in TMS320DM642, basing on the image Segmentation and multimode displaying algorithm. And the system can reliably
and dynamically detect 360-degree view field of panoramic night vision image.
The unwrapped and correcting algorithm based on Coordinate Rotation Digital Computer (CORDIC) and bilinear
interpolation algorithm was presented in this paper, with the purpose of processing dynamic panoramic annular
image. An original annular panoramic image captured by panoramic annular lens (PAL) can be unwrapped and
corrected to conventional rectangular image without distortion, which is much more coincident with people's
vision. The algorithm for panoramic image processing is modeled by VHDL and implemented in FPGA. The
experimental results show that the proposed panoramic image algorithm for unwrapped and distortion correction
has the lower computation complexity and the architecture for dynamic panoramic image processing has lower
hardware cost and power consumption. And the proposed algorithm is valid.
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