Efficient reduction of defocused areas in the reconstructed image by computational integral imaging reconstruction

Kwang-Jin Lee; Chang-Keun Kim; Dong-Choon Hwang; Eun-Soo Kim

doi:10.1117/12.733246

26 September 2007 Efficient reduction of defocused areas in the reconstructed image by computational integral imaging reconstruction

Kwang-Jin Lee, Chang-Keun Kim, Dong-Choon Hwang, Eun-Soo Kim

Author Affiliations +

Proceedings Volume 6778, Three-Dimensional TV, Video, and Display VI; 67780R (2007) https://doi.org/10.1117/12.733246
Event: Optics East, 2007, Boston, MA, United States

Abstract

The image reconstructed by use of the computational integral imaging reconstruction at the output plane where a three-dimensional object was originally located is almost focused, while its image has defocused areas due to the background images or the other object images reconstructed at the same output plane and it gets considerable in case of multiple objects. For overcoming this problem, this paper presents a digital technique that estimates a blur measure of the reconstructed plane images and efficiently eliminates defocused areas. The depth of a three-dimensional object can be accurately detected from a blur measure and the resolution and quality of reconstructed plane images are slightly enhanced by adaptive erosion operation. Therefore, we qualitatively expect this scheme to work well in the specific task such as a part of the system for object detection and recognition in integral imaging.

Citation Download Citation

Kwang-Jin Lee, Chang-Keun Kim, Dong-Choon Hwang, and Eun-Soo Kim "Efficient reduction of defocused areas in the reconstructed image by computational integral imaging reconstruction", Proc. SPIE 6778, Three-Dimensional TV, Video, and Display VI, 67780R (26 September 2007); https://doi.org/10.1117/12.733246

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