Extending depth of field and dynamic range from differently focused and exposed images
| Autor: | Qinchun Qian, Bahadir K. Gunturk |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Photometric and Spatial Registration
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Computational photography Artificial Intelligence High-dynamic-range imaging 0202 electrical engineering electronic engineering information engineering Computer vision Depth of field High dynamic range ComputingMethodologies_COMPUTERGRAPHICS Focus Stacking Image fusion Dynamic range business.industry Applied Mathematics 020206 networking & telecommunications High Dynamic Range Imaging Computer Science Applications Focus stacking Hardware and Architecture Signal Processing 020201 artificial intelligence & image processing Artificial intelligence Focus (optics) business Software Information Systems |
| Popis: | WOS: 000371808500011 Focus stacking and high dynamic range (HDR) imaging are two paradigms of computational photography. Focus stacking aims to produce an image with greater depth of field (DOF) from a set of images taken with different focus distances; HDR imaging aims to produce an image with higher dynamic range from a set of images taken with different exposure values. In this paper, we present an algorithm which combines focus stacking and HDR imaging in order to produce an image with both extended DOF and dynamic range from a set of differently focused and exposed images. The key step in our algorithm is focus stacking regardless of the differences in exposure values of input images. This step includes photometric and spatial registration of images, and image fusion to produce all-in-focus images. This is followed by HDR radiance estimation and tonemapping. We provide experimental results with real data to illustrate the algorithm. Texas Instruments This work is supported in part by Texas Instruments. |
| Databáze: | OpenAIRE |
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