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自然图像效率编码

麻立波, 吴思^*

State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China

摘要

效率编码理论认为经过漫长历史进化，大脑感知系统有效地适应了自然环境。自然图像统计规律计算建模对视觉信息处理机理的理解大有裨益。本文简要回顾近期视觉系统对自然图像效率编码的最新进展。

关键词： 效率编码; 统计模型; 自然图像

分类号：R339.14+6

Efficient coding of natural images

MA Li-Bo, WU Si^*

北京师范大学认知神经科学与学习国家重点实验室，北京 100875

Abstract

Efficient coding theory proposes that sensory systems in the brain have been adapted to process natural scenes efficiently over the long history of evolution. Computational modeling the statistical regularities of natural images is therefore beneficial to our understanding of the mechanisms of visual information processing. In this paper, we briefly review the recent progress in using efficient coding approaches to study the encoding of natural images in the visual system.

Key words: efficient coding; statistical models; natural images

收稿日期：　　录用日期：

通讯作者：吴思　　E-mail: wusi@bnu.edu.cn

引用本文：

麻立波, 吴思. 自然图像效率编码[J]. 生理学报 2011; 63 (5): 463-471.

MA Li-Bo, WU Si. Efficient coding of natural images. Acta Physiol Sin 2011; 63 (5): 463-471 (in Chinese with English abstract).