Using different interpolation techniques in unwrapping the distorted images from panoramic annular lens camera

Guo Yu; Lingjin Fu; Jian Bai

doi:10.1117/12.869915

9 November 2010 Using different interpolation techniques in unwrapping the distorted images from panoramic annular lens camera

Guo Yu, Lingjin Fu, Jian Bai

Author Affiliations +

Proceedings Volume 7849, Optical Design and Testing IV; 78491X (2010) https://doi.org/10.1117/12.869915
Event: Photonics Asia 2010, 2010, Beijing, China

Abstract

The camera using panoramic annular lens (PAL) can capture the surrounding scene in a view of 360° without any scanning component. Due to severe distortions, the image formed by PAL must be unwrapped into a perspective-view image in order to get consistency with the human's visual custom. However the unfilled pixels would probably exist after unwrapping as a result of the non-uniform resolution in the PAL image, hence the interpolation should be employed in the phase of the forward projection unwrapping. We also evaluated the performance of several interpolation techniques for unwrapping the PAL image on a series of frequency-patterned images as a simulation by using three image quality indexes: MSE, SSIM and S-CIELAB. The experiment result revealed that those interpolation methods had better capability for the low frequent PAL images. The Bicubic, Ferguson and Newton interpolations performed relatively better at higher frequencies, while Bilinear and Bezier could achieve better result at lower frequency. Besides, the Nearest method had poorest performance in general and the Ferguson interpolation was excellent in both high and low frequencies.

Citation Download Citation

Guo Yu, Lingjin Fu, and Jian Bai "Using different interpolation techniques in unwrapping the distorted images from panoramic annular lens camera", Proc. SPIE 7849, Optical Design and Testing IV, 78491X (9 November 2010); https://doi.org/10.1117/12.869915

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available