High Dynamic Range Image Reconstruction from Hand-heldameras
Date Issued
2008
Date
2008
Author(s)
Lu, Pei-Ying
Abstract
In this thesis, we present a novel technique to reconstruct a high quality high dynamic range imagerom a set of differently exposed and possibly blurred images from a hand-held camera.ompositing high dynamic range image from differently exposed photographs is a common approach, however, it often requires a tripodo keep the camera still when taking photographs of different exposures.o ease the process, one often prefer to use hand-held cameras. This, however, leads to two problems, misaligned photographs andlurred long-exposed photographs. To overcome these problems, we adapt an alignment method and propose a method for HDR reconstruction fromossibly blurred images.e conqure the blurry artifact caused by camera shake from hand-held cameras to reconstruct a clearigh dynamic range image. Instead of applying the naive solution that separately deblur each photographnd then composite these deblurred results to construct a high dynamic range image, we seek to utilize the correlationmong blurred images, based on the assumption that all observations come from the same latent high dynamic range image convolved by different blur kernels. We adopt a Bayesian approach to define our probability model and apply maximum-likelihood approacho iteratively perform kernel estimation, high dynamic range image reconstruction and camera curve recovery. Until convergence,e obtain an satisfying high dynamic range image with rich and clear structure.o demonstrate the effectiveness of our algorithm, we tested our implementation on both synthetic examples and real photographs andompared favorably to two related methods.
Subjects
High dynamic range images
Deblurring
Blur kernel
Camera response curve
Type
thesis
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