A new algorithm for unsupervised global and local color correction
By A. Rizzi, Carlo Gatta, Daniele Marini. Pattern Recognition Letters, 2003
359 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/0f41ed3b0b0e8b17f02afcc1e5a24d3580f28ae9
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
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Rodrigo Benenson
- Bernt Schiele
- Xiaogang Wang
- Chen Change Loy
- Andrew Zisserman
- Ming-Hsuan Yang
- Xiaoou Tang
In Media Technology
- Markus Mathias
- Raimondo Schettini
- Luc Van Gool
- Rodrigo Benenson
- Marco Pedersoli
- Silvia Corchs
- Radu Timofte
- Chen Change Loy
Citations in the corpus
- Enhancing the low quality images using Unsupervised Colour Correction Method (2010, background): “Some algorithms require high computational cost in terms of time and resources [4], [5].”
- Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods (2010, methodology): “To address this issue, they incorporated measured in-water optical properties to the point spread function in the spatial domain and the modulation transfer function in frequency domain.”
- Face Detection without Bells and Whistles (2014, methodology): “First, we follow their suggestion by applying global normalization [21] before running the detector.”