High dynamic range content acquisition from multiple exposures
The limited dynamic range of digital images can be extended by composing different exposures of the same scene to produce HDR images. This thesis is composed of an overview of the state of the art techniques and three methods to tackle the image alignment and deghosting problems in the HDR imaging d...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/371162 |
| Acceso en línea: | http://hdl.handle.net/10803/371162 |
| Access Level: | acceso abierto |
| Palabra clave: | Image alignment Alinear imágenes Alinear imatges Hight dynamic range images HDR images Imatges HDR Imágenes HDR Image registration Enregistrament d'imatges Registro de imágenes Multiple exposure Exposición múltiple Exposició múltiple Digital images Imatges digitals Imágenes digitales 004 51 68 |
| Sumario: | The limited dynamic range of digital images can be extended by composing different exposures of the same scene to produce HDR images. This thesis is composed of an overview of the state of the art techniques and three methods to tackle the image alignment and deghosting problems in the HDR imaging domain. The first method detects the areas affected by motion, registers the dynamic objects over a reference image, and combines low-dynamic range values to recover HDR values in the whole image. The second approach builds multiscopic HDR images from LDR multi-exposure images. It is based on a patch match algorithm which was adapted and improved to take advantage of epipolar geometry constraints of stereo images. The last method proposes to replace under/over exposed pixels in the reference image by using valid HDR values from other images in the multi-exposure LDR image sequence. |
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