AI Article Synopsis
- The paper addresses the low-resolution issue of images produced by integral imaging microscope systems due to micro lens and sensor limitations.
- A new method for improving image resolution is introduced, utilizing iterative reconstructions with bilinear interpolation and a GPU-based parallel processing algorithm for quick performance.
- Experimental validation shows effective results, demonstrating the potential of this resolution-enhanced display method in integral imaging microscopy.
Article Abstract
Due to the limitations of micro lens arrays and camera sensors, images on display devices through the integral imaging microscope systems have been suffering for a low-resolution. In this paper, a resolution-enhanced orthographic-view image display method for integral imaging microscopy is proposed and demonstrated. Iterative intermediate-view reconstructions are performed based on bilinear interpolation using neighborhood elemental image information, and a graphics processing unit parallel processing algorithm is applied for fast image processing. The proposed method is verified experimentally and the effective results are presented in this paper.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4361429 | PMC |
| http://dx.doi.org/10.1364/BOE.6.000736 | DOI Listing |
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