Abstract

We propose an interpolation method to effectively improve the visual quality of the reconstructed integral image. Specifically, the dot-pattern output plane image (OPI) is first generated based on the pickup EIs by using pixel-to-pixel mapping. Then all the zero pixels in the dot-pattern OPI are interpolated by utilizing a non-zero-pixel derivation technique, and the final reconstructed integral image is obtained. To confirm the feasibility of this method, some computational experiments were carried out for test plane images with different depths. Quantitative experimental analysis shows that our proposed method has good robustness and can largely enhance the viewing quality of the reconstructed integral image compared to the plane-by-plane reconstruction technique and the conventional pixel-to-pixel mapping and interpolation technique.

© 2010 Optical Society of America

Image quality enhancement in 3D computational integral imaging by use of interpolation methods

Dong-Hak Shin and Hoon Yoo
Opt. Express 15(19) 12039-12049 (2007)

Resolution-enhanced reconstruction of far 3-D objects by using a direct pixel mapping method in computational curving-effective integral imaging

Yongri Piao and Eun-Soo Kim
Appl. Opt. 48(34) H222-H230 (2009)

Resolution-enhanced three-dimensional image reconstruction by use of smart pixel mapping in computational integral imaging

Dong-Hak Shin, Chun-Wei Tan, Byung-Gook Lee, Joon-Jae Lee, and Eun-Soo Kim
Appl. Opt. 47(35) 6656-6665 (2008)

Axially moving a lenslet array for high-resolution 3D images in computational integral imaging

Hoon Yoo
Opt. Express 21(7) 8873-8878 (2013)

Encryption and volumetric 3D object reconstruction using multispectral computational integral imaging

Inbarasan Muniraj, Byoungho Kim, and Byung-Guen Lee
Appl. Opt. 53(27) G25-G32 (2014)