This paper presents an image quality enhancement of computational integral imaging reconstruction (CIIR) method by using a binary weighting mask on occlusion areas in elemental images. The proposed method utilizes a block-matching algorithm to estimate the occlusion areas in elemental images. Then, a binary weighting mask generated from the estimated occlusion area is applied to our CIIR method. This minimizes the overlapping effect of occluding objects in the reconstructed plane images and thus improves visual quality dramatically. To show the usefulness of our proposed scheme, we conduct several experiments and present the results. The experimental results indicate that our method is superior to the existing methods.
© 2011 Optical Society of America
Original Manuscript: November 19, 2010
Revised Manuscript: February 11, 2011
Manuscript Accepted: February 11, 2011
Published: April 28, 2011
Vol. 6, Iss. 6 Virtual Journal for Biomedical Optics
Joon-Jae Lee, Byung-Gook Lee, and Hoon Yoo, "Image quality enhancement of computational integral imaging reconstruction for partially occluded objects using binary weighting mask on occlusion areas," Appl. Opt. 50, 1889-1893 (2011)