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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

Received: 　　Accepted:

Corresponding author: 吴思　　E-mail: wusi@bnu.edu.cn

Citing This Article：

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