van Hateren J H
Department of Biophysics, University of Groningen, The Netherlands.
Nature. 1992 Nov 5;360(6399):68-70. doi: 10.1038/360068a0.
It has been suggested that the first steps in visual processing strive to compress as much information as possible about the outside world into the limited dynamic range of the visual channels. Here I compare measured neural images with theoretical calculations based on maximizing information, taking into account the statistical structure of natural images. Neural images were obtained by scanning an image while recording from a second-order neuron in the fly visual system. Over a 5.5-log-units-wide range of mean intensities, experiment and theory correspond well. At high mean intensities, redundancy in the image is reduced by spatial and temporal antagonism. At low mean intensities, spatial and temporal low-pass filtering combat noise and increase signal reliability.
有人提出，视觉处理的第一步是努力将关于外部世界的尽可能多的信息压缩到视觉通道有限的动态范围内。在这里，我将测量的神经图像与基于信息最大化的理论计算进行比较，同时考虑自然图像的统计结构。神经图像是通过在果蝇视觉系统中的二阶神经元记录时扫描图像获得的。在5.5个对数单位宽的平均强度范围内，实验和理论吻合得很好。在高平均强度下，图像中的冗余通过空间和时间拮抗作用而减少。在低平均强度下，空间和时间低通滤波对抗噪声并提高信号可靠性。
