Edge-preserving decompositions for multi-scale tone and detail manipulation
Hebrew College · Microsoft (United States) · +1 more institution
Abstract
Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer capturing the smaller scale details in the image. In many of these applications, it is important to control the spatial scale of the extracted details, and it is often desirable to manipulate details at multiple scales, while avoiding visual artifacts. In this paper we introduce a new way to construct edge-preserving multi-scale image decompositions. We show that current basedetail decomposition techniques, based on the bilateral filter, are limited in their ability to extract detail at arbitrary scales. Instead, we advocate the use…
Citation impact
- FWCI
- 30.88
- Percentile
- 100%
- References
- 55
Authors
4Topics & keywords
- Tone mapping
- Computer science
- Smoothing
- Enhanced Data Rates for GSM Evolution
- Edge-preserving smoothing
- Filter (signal processing)
- Scale (ratio)
- Piecewise