학술논문
Multi-scale exposure fusion via gradient domain guided image filtering
Document Type
Conference
Author
Source
2017 IEEE International Conference on Multimedia and Expo (ICME) Multimedia and Expo (ICME), 2017 IEEE International Conference on. :1105-1110 Jul, 2017
Subject
Language
ISSN
1945-788X
Abstract
Multi-scale exposure fusion is an efficient way to fuse differently exposed low dynamic range (LDR) images of a high dynamic range (HDR) scene into a high quality LDR image directly. It can produce images with higher quality than single-scale exposure fusion, but has a risk of producing halo artifacts and cannot preserve details in brightest or darkest regions well in the fused image. In this paper, an edge-preserving smoothing pyramid is introduced for the multi-scale exposure fusion. Benefiting from the edge-preserving property of the filter used in the algorithm, the details in the brightest/darkest regions are preserved well and no halo artifacts are produced in the fused image. The experimental results prove that the proposed algorithm produces better fused images than the state-of-the-art algorithms both qualitatively and quantitatively.