Abstract

Image analysis and enhancement tools such as tone mapping, colorization, stereo depth, and photomontage, require computing a solution (e.g., for exposure, chromaticity, disparity, labels) over the pixel grid. Computational and/or memory costs often require that a smaller solution be run over a down-sampled image. Although traditional upsampling methods can be used to interpolate the low resolution solution to the full resolution, these methods generally assume a smoothness prior for the interpolation.<br /><br />We demonstrate that in the cases, such as those above, where a high resolution image is available, it can be leveraged as a prior in the context of a joint bilateral upsampling procedure to produce a better high resolution solution. We show results for each of the applications above and compare them to traditional upsampling methods.

Keywords:
Upsampling Computer science Tone mapping Computer vision Artificial intelligence Interpolation (computer graphics) Joint (building) Smoothness Pixel Image resolution Grid Image (mathematics) Computer graphics (images) Mathematics

Metrics

891
Cited By
21.31
FWCI (Field Weighted Citation Impact)
38
Refs
1.00
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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