A study on image representation method based on biological visual mechanism

作者：Li Shi^*; Xiaoke Niu; Zhizhong Wang; Huige Shi

来源：2012 3rd International Conference on Applied Mechanics and Mechanical Engineering, ICAMME 2012, 2012-11-14 to 2012-11-15.

DOI：10.4028/www.scientific.net/AMM.249-250.1283

• Image representations
• Natural images
• Noise sensitivity
• Primary visual cortex
• Representation method
• Self-adaptability
• Sparse representation
• Sparse response
• Synchronization mechanisms
• Visual cortexes
• Visual systems

Image representation is a key issue among many image processing tasks. By considering the problems faced by current general image representation methods, such as excessive computing amount, sensitivity to noise, lack of self-adaptability etc, a novel image representation method based on biologic visual mechanisms is proposed in this paper. Through simulating the primary visual cortex to realize the sparse representation of outside image it also introduced the synchronization mechanism to make it more accordant with visual system. Finally the presented method was verified by applying it to compress natural images and digital literature images respectively. The result showed that this new representation method is better than the general sparse representation method on both aspects of compression ratio and noise sensitivity.

• 出版日期2013
• 单位郑州大学