Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 78, Issue 1, Pages 619-639Publisher
SPRINGER
DOI: 10.1007/s11042-017-5347-9
Keywords
Laplacian pyramid; Detail enhancement; Detail smoothing; Image editing; Local Laplacian filters
Categories
Funding
- National Natural Science Foundation of China [11603016, 61540062]
- Key Project of Yunnan Applied Basic Research [2014fa021]
- project of Research Center of Kunming Forestry Information Engineering Technology [2015FBI06]
Ask authors/readers for more resources
We present a new approach for edge-aware image processing, inspired by the principle of local Laplacian filters and fast local Laplacian filters. In contrast to the previous methods that primarily rely on fixed intensity threshold, our method adopts an adaptive parameter selection strategy in different regions of the processing image. This adaptive parameter selection strategy allows different intensity thresholds and different amplitude magnification factors in different pixels, moreover, a different remapping functions are adopted to process each pixel. At the same time, we propose an efficient and flexible method for obtaining the representation of image local variation, and based on the representation to select local Laplacian filters parameters adaptively. Our experiments shows that high-quality results in the detail enhancement and detail smoothing can be produced by our methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available