Lesica, N.A., Jin, J.H., Weng, C., Yeh, C.-I, Butts, D.A., Stanley, G.B., et al. (2007) Adaptation to Stimulus Contrast and Correlations during Natural Visual Stimulation. Neuron, 55, 479-491.
http://dx.doi.org/10.1016/j.neuron.2007.07.013

has been cited by the following article:

• TITLE: A Physiologically-Based Adaptive Three-Gaussian Function Model for Image Enhancement

  AUTHORS: Zilong Xu, Kaifu Yang, Yongjie Li

  KEYWORDS: Image Enhancement, Receptive Field, Visual System, Three-Gaussian Model

  JOURNAL NAME: International Journal of Intelligence Science, Vol.5 No.2, January 14, 2015

  ABSTRACT: Image enhancement is an important pre-processing step for various image processing applications. In this paper, we proposed a physiologically-based adaptive three-Gaussian model for image enhancement. Comparing to the standard three-Gaussian model inspired by the spatial structure of the receptive field (RF) of the retinal ganglion cells, the proposed model can dynamically adjust its parameters according to the local image luminance and contrast based on the physiological findings. Experimental results on several images show that the proposed adaptive three-Gaussian model achieves better performance than the classical method of histogram equalization and the standard three-Gaussian model.