1 December 2011 Fusion of complementary catadioptric panoramic images based on nonsubsampled contourlet transform
Lidong Chen, JingTao Lou, Maojun Zhang, Wei Wang, Yu Liu
Author Affiliations +
Abstract
The problem of low and nonuniform resolution has long been a topic of research in omnidirectional imaging. A novel fusion method based on nonsubsampled contourlet transform is proposed in this paper to fuse the pair of complementary panoramic images unwrapped from the inner and outer of the omni-image. This work can be considered as a continuation research of the complementary-structure catadioptric imaging technique based on multiple mirrors. Specifically, the high-frequency details are extracted by nonsubsampled directional filters only in the horizontal and vertical directions, since the complementarity mostly exists in two orthogonal directions. The horizontal and vertical high-frequency coefficients of the fused image are selected from the panoramic image which has the advantage in the corresponding direction. The fusion rule for the low-frequency coefficients is an improved "selecting" scheme with considering the high-frequency directional vector. Simulation experiments based on decimation and interpolation are implemented using the proposed fusion method, which outperforms other existing fusion methods in terms of both visual quality and objective evaluation. The proposed fusion method has demonstrated on experiments that both indoor and outdoor of real-scene imaging can gain better performance by using our prototype omnidirectional sensor.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Lidong Chen, JingTao Lou, Maojun Zhang, Wei Wang, and Yu Liu "Fusion of complementary catadioptric panoramic images based on nonsubsampled contourlet transform," Optical Engineering 50(12), 127002 (1 December 2011). https://doi.org/10.1117/1.3658761
Published: 1 December 2011
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Image fusion

Panoramic photography

Combined lens-mirror systems

Image resolution

Mirrors

Sensors

Prototyping

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