A Review on Filtering of a Weighted Guided Image
Volume: 5 - Issue: 03 - Date: 01-03-2016
Approved ISSN: 2278-1412
Published Id: IJAECESTU261 | Page No.: 932-936
Author: Rohit Sharma
Co- Author: Harsh Lohiya,Kailash Patidar
Abstract:-– It is well-known that local filtering-based edge preserving smoothing method suffers
from halo artifacts. In this paper, a weighted guided image filter is introduced by incorporating an
edge-aware weighting into an accessible guided image filter to address the problem. The WGIF
inherit benefits of both global and local smoothing filters in the sense that: 1) the difficulty of the
WGIF is O(N) for an image with N pixels, which is same as the GIF and 2) the WGIF can avoid
halo artifact like the existing global smoothing filters. The WGIF is applied for single image detail
enhancement, single image mist removal, and fusion of differently exposed images. Investigational
results show that the resultant algorithms create images with better visual quality and at the same
time halo artifacts can be avoided from appearing in the final images with negligible rise on
running times.
Key Words:-Edge-preserving smoothing, weighted guided image filter, edge-aware weighting, detail enhancement, haze removal, exposure fusion.
Area:-Engineering
Download Paper:
Preview This Article
