Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform

By Siwei Lyu. 2010

26 citations recorded by the source corpus.

Subfields: Neuroscience, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Neuroscience

1. Zhou Wang
2. Valero Laparra
3. Johannes Ballé
4. Kai Zhang
5. Eero P. Simoncelli
6. Wangmeng Zuo
7. Wentao Liu
8. Kede Ma

In Signal Processing

1. Johannes Ballé
2. Valero Laparra
3. Zhou Wang
4. Eero P. Simoncelli
5. Kai Zhang
6. Wangmeng Zuo
7. Wentao Liu
8. Kede Ma

Citations in the corpus

• Density Modeling of Images using a Generalized Normalization Transformation (2015, methodology): “In this paper, we define a generalized divisive normalization (GDN) transform that includes parametric forms of both ICA-MG and RG as special cases.”
• End-to-End Blind Image Quality Assessment Using Deep Neural Networks (2018, methodology): “These higher-order statistics may be significantly decorrelated through the use of a joint nonlinear gain control mechanism [45], [46] inspired by models of visual neurons [47], [48].”