Interactive local adjustment of tonal values
By Dani Lischinski, Zeev Farbman, M. Uyttendaele, Richard Szeliski. ACM Transactions on Graphics, 2006
413 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/1bf3ad795c2452addc2621664948fd3144c82bb7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Michael F. Cohen
- Dani Lischinski
- Jiaya Jia
- C. Lawrence Zitnick
- Richard Szeliski
- Shaojie Zhuo
- Terence Sim
- Haibin Ling
In Computer Graphics and Computer-Aided Design
- Richard Szeliski
- Johannes Peter Kopf
- Michael F. Cohen
- Shaojie Zhuo
- Terence Sim
- Olga Sorkine-Hornung
- Jiaya Jia
- Brian Curless
In Computer Vision and Pattern Recognition
- Ming-Hsuan Yang
- Luc Van Gool
- Dacheng Tao
- Jiaya Jia
- Chen Change Loy
- Xiaogang Wang
- Jitendra Malik
- Kaiming He
Citations in the corpus
- Image smoothing via L0 gradient minimization (2011, methodology): “Subr et al. [2009] considered local signal extremes and used edge-aware interpolation [Levin et al. 2004; Lischinski et al. 2006] to compute envelopes.”
- Locally adapted hierarchical basis preconditioning (2006, methodology): “We have also applied our algorithm to a newly developed interactive tone mapping algorithm [Lischinski et al. 2006] with good results [Szeliski 2006].”
- LIME: Low-Light Image Enhancement via Illumination Map Estimation (2017, background): “Since (I + ∑ d∈{u,v}D T d Diag(w̃d)Dd) is a symmetric positive definite Laplacian matrix, there are many techniques available for solving it, for example, [28], [29], [30], [31], [32].”
- Defocus map estimation from a single image (2011, methodology): “Edge-aware interpolation methods [16,17] are usually used for these tasks.”
- Joint bilateral upsampling (2007, methodology): “Such exposure maps are generally smooth but may have discontinuities along significant image edges [Lischinski et al. 2006].”
- Joint Bi-layer Optimization for Single-Image Rain Streak Removal (2017, methodology): “Since a quadratic optimization with a quadratic regularization term can be optimized linearly [27, 20, 17], we solve the problem with the iterative re-weighted least squares (IRLS) technique [30].”
- Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems (2008, methodology): “[17] apply strokes as data constraints for gradient-based scattered data interpolation.”
- Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach (2017, neutral): “2 compares Gu12 [8], Shutao12 [13] with SPD-MEF on the “House” sequence.”
- Transfusive image manipulation (2012, methodology): “In contrast, previous formulations of weight optimization (e.g. [Lischinski et al. 2006]) usually use finite differences and work on regular pixels grids only.”
- Fast Global Image Smoothing Based on Weighted Least Squares (2014, methodology): “Though with varying smoothing performance and application constraints, these EP filters are typically efficient, often giving a linear-time complexity dependent on the number of image pixels only.”