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Untitled. Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement - Mathematical Image Analysis Group, Saarland University. Limitations of our Alignment Method This page shows scenarios where our proposed optic flow-based alignment strategy does not produce agreeable results.

Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement - Mathematical Image Analysis Group, Saarland University

As mentioned in the paper, optic flow approaches that rely on a coarse-to-fine warping strategy for handling large displacements fail to estimate large displacements of small objects. This is due to the fact that small objects vanish at coarse levels where their large displacement would have need to be estimated. Optical Illusions and Visual Phenomena. Artifact-free High Dynamic Range Imaging. BibTeX @MISC{Gallo09artifact-freehigh, author = {Orazio Gallo and Natasha Gelfand and Wei-chao Chen and Marius Tico and Kari Pulli}, title = {Artifact-free High Dynamic Range Imaging}, year = {2009}} Bookmark.

Artifact-free High Dynamic Range Imaging

Freehand HDR Imaging of Moving Scenes with Simultaneous Resolution Enhancement - Mathematical Image Analysis Group, Saarland University. Image Melding: Combining Inconsistent Images using Patch-based Synthesis. Abstract Current methods for combining two different images produce visible artifacts when the sources have very different textures and structures.

Image Melding: Combining Inconsistent Images using Patch-based Synthesis

We present a new method for synthesizing a transition region between two source images, such that inconsistent color, texture, and structural properties all change gradually from one source to the other. Non-Rigid Dense Correspondence with Applications for Image Enhancement. This paper presents a new efficient method for recovering reliable local sets of dense correspondences between two images with some shared content.

Non-Rigid Dense Correspondence with Applications for Image Enhancement

Our method is designed for pairs of images depicting similar regions acquired by different cameras and lenses, under non-rigid transformations, under different lighting, and over different backgrounds. We utilize a new coarse-to-fine scheme in which nearest-neighbor field computations using Generalized PatchMatch [Barnes et al. 2010] are interleaved with fitting a global non-linear parametric color model and aggregating consistent matching regions using locally adaptive constraints. Paul Debevec Home Page.