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Found 6 papers, 5 papers with code
Robust estimation of exposure ratios in multi-exposure image stacks
When pixel values are represented in the logarithmic domain, the problem can be solved efficiently using a linear solver.
Comparison of single image HDR reconstruction methods — the caveats of quality assessment
As the problem of reconstructing high dynamic range (HDR) images from a single exposure has attracted much research effort, it is essential to provide a robust protocol and clear guidelines on how to evaluate and compare new methods.
FovVideoVDP: A visible difference predictor for wide field-of-view video
FovVideoVDP is a video difference metric that models the spatial, temporal, and peripheral aspects of perception.
Ranked #20 on
Video Quality Assessment
on MSU FR VQA Database
Single-frame Regularization for Temporally Stable CNNs
The regularization is formulated to account for different types of motion that can occur between frames, so that temporally stable CNNs can be trained without the need for video material or expensive motion estimation.
HDR image reconstruction from a single exposure using deep CNNs
We demonstrate that our approach can reconstruct high-resolution visually convincing HDR results in a wide range of situations, and that it generalizes well to reconstruction of images captured with arbitrary and low-end cameras that use unknown camera response functions and post-processing.
Towards a quality metric for dense light fields
We find that the existing image quality metrics provide good measures of light-field quality, but require dense reference light- fields for optimal performance.
