Abstract
This paper presents a High Order Reconstruction (HOR) method for improved multi-scale edge aware tone mapping. The study aims to contribute to the improvement of edge-aware techniques for smoothing an input image, while keeping its edges intact. The proposed HOR methods circumvent limitations of the existing state of the art methods, e.g., altering the image structure due to changes in contrast; remove artefacts around edges; as well as reducing computational complexity in terms of implementation and associated computational costs. In particular, the proposed method aims at reducing the changes in the image structure by intrinsically enclosing an edge-stop mechanism whose computational cost is comparable to the state-of-the-art multi-scale edge aware techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 51-63 |
| Number of pages | 13 |
| Journal | Computers and Graphics |
| Volume | 45 |
| Early online date | 21 Sep 2014 |
| DOIs | |
| Publication status | Published - 1 Dec 2014 |
Keywords
- high dynamic range imaging
- tone mapping
- edge aware techniques
- multiscale
- wavelet
- high order interpolation
Fingerprint Dive into the research topics of 'High-order wavelet reconstruction for multi-scale edge aware tone mapping'. Together they form a unique fingerprint.
Cite this
Artusi, A., Su, Z., Zhang, Z., Drikakis, D., & Luo, X. (2014). High-order wavelet reconstruction for multi-scale edge aware tone mapping. Computers and Graphics, 45, 51-63. https://doi.org/10.1016/j.cag.2014.08.002