基于交叉视觉皮质模型的真实图像再现方法

Realistic Image Rendition Based on Intersecting Cortical Model

  • 摘要: 真实图像再现技术旨在实现人类视觉对场景的真实认知,兼顾低动态范围图像增强和高动态范围图像色调映射的双重任务。该文首先对真实图像再现技术进展作了总结和分析,着重指出了视觉系统相关思路和方法,进而提出基于邻域强化连接交叉视觉皮质模型的统一框架,设计了算法流程,实现了不同动态范围图像在显示端真实再现的目标。仿真实验表明该方法尤其对于非均匀光照图像,能够提高亮度动态范围和调整对比度,同时能够保证高动态图像的高视觉质量显示。

     

    Abstract: Realistic image rendition (RIR) aims to realize the realistic cognition of the world, including two main topics:low dynamic range image enhancement and high dynamic range image visualization. The RIR methods on the basis of visual system are firstly reviewed and analyzed. A general framework for RIR based on a modified neighborhood-enhanced-linking intersecting cortical model (NEL-ICM) is presented. The ideal image rendition on display is achieved through meticulous designs. The simulation results show high contrast enhancement effects for non-uniform lighting images, and HDR images gain good visualization with high-quality.

     

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