Mixed-Domain Edge-Aware Image Manipulation
Xian-Ying Li1 Yan Gu1 Shi-Min Hu1 Ralph R. Martin2
1Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing
2School of Computer Science & Informatics, Cardiff University, Wales
Abstract
This paper gives a novel approach to edge-aware image manipulation. Our method processes a Gaussian pyramid from coarse to fine, and at each level, applies a nonlinear filter bank to the neighborhood of each pixel. Outputs of these spatially-varying filters are merged using global optimization. The optimization problem is solved using an explicit mixeddomain (real space and DCT transform space) solution, which is efficient, accurate, and easy-to-implement. We demonstrate applications of our method to a set of problems including detail and contrast manipulation, HDR compression, non-photorealistic rendering, and haze removal.
Paper
Mixed-Domain Edge-Aware Image Manipulation [7.0M Paper]
Xian-Ying Li, Yan Gu, Ralph R. Martin, and Shi-Min Hu.
IEEE Transactions on Image Processing, 2013, 22(5), 1915-1925.
BibTex
@article {li2013mixed,
author = {Li, Xian-Ying and Gu, Yan and Hu, Shi-Min and Ralph R. Martin},
title = {Mixed-Domain Edge-Aware Image Manipulation},
journal = {IEEE Transactions on Image Processing},
year = {2013},
volume = {22},
number = {5},
pages = {1915-1925},
}
Software