An Efficient and Scalable Image Filtering Framework Using VIPS Fusion
| dc.contributor.author | Zhang, Jun | en_US |
| dc.contributor.author | Chen, Xiuhong | en_US |
| dc.contributor.author | Zhao, Yan | en_US |
| dc.contributor.author | Li, H. | en_US |
| dc.contributor.editor | B. Levy, X. Tong, and K. Yin | en_US |
| dc.date.accessioned | 2015-02-28T16:13:07Z | |
| dc.date.available | 2015-02-28T16:13:07Z | |
| dc.date.issued | 2013 | en_US |
| dc.description.abstract | Edge-preserving image filtering is a valuable tool for a variety of applications in image processing and computer vision. Motivated by a new simple but effective local Laplacian filter, we propose a scalable and efficient image filtering framework to extend this edge-preserving image filter and construct an uniform implementation in O(N) time. The proposed framework is built upon a practical global-to-local strategy. The input image is first remapped globally by a series of tentative remapping functions to generate a virtual candidate image sequence (Virtual Image Pyramid Sequence, VIPS). This sequence is then recombined locally to a single output image by a flexible edge-aware pixel-level fusion rule. To avoid halo artifacts, both the output image and the virtual candidate image sequence are transformed into multi-resolution pyramid representations. Four examples, single image de-hazing, multi-exposure fusion, fast edge-preserving filtering and tone-mapping, are presented as the concrete applications of the proposed framework. Experiments on filtering effect and computational efficiency indicate that the proposed framework is able to build a wide range of fast image filtering that yields visually compelling results. | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/cgf.12247 | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.subject | I.4.3 [Image Processing and Computer Vision] | en_US |
| dc.subject | Enhancement | en_US |
| dc.subject | Image Filtering | en_US |
| dc.title | An Efficient and Scalable Image Filtering Framework Using VIPS Fusion | en_US |