生物视觉机理是计算机视觉理论与技术革新的重要源泉。生物视觉建模对于阐明大脑工作机理及发展脑智技术均意义重大。本项目以我们长期积累的相关研究成果为坚实基础，同时广泛吸收国际上在视觉机理及模型（特别是在视网膜的复杂结构及独特功能）方面的最新成果，将认知科学成果、机器感知方法与信息处理技术结合，以发展高效的图像/视频预处理技术为主要目标，以非经典感受野的多变结构和功能及视觉系统的自适应特性为核心，重点围绕视网膜层次的生物机理（如明暗适应、对比度适应、颜色适应等）进行数学建模；同时关注中、高级层次的相关视觉机制（如反馈、选择性注意）；并配以必要的实验研究。力求在若干关键理论和计算模型方面取得突破性进展，最终建立针对复杂场景（如强噪声、低对比度、大雾、颜色失真、高动态亮度范围等）的高效图像预处理技术（如去噪、去雾、增强、颜色矫正、亮度恢复等），为相关的计算机视觉应用提供坚实的技术支持。

Information processing mechanisms within the biological vision system may provide strong inspiration to advance the theories of technologies in the field of the computer vision and computational modeling of biological vision system is quite helpful of better understanding of the working mechanisms of our brain, and also very helpful of developing brain-like information processing methods. In this project, based on our plentiful achievements obtained during the past years, we aim to develop efficient models inspired the visual mechanisms, especially at the level of retina, and also some important mechanisms involved in the mid- and high-level areas. We mainly care about the mechanisms underlying the various structures and functions of the non-classical receptive fields and the mechanisms underlying the dynamic adaptation involved in multiple levels. These mechanisms include the light and dark adaptation, contrast adaptation and chromatic adaptation involved in the retina; and the feedback control, selective attention, color constancy involved in the levels of V1, V2, V4, etc. Besides the developing of visual models, we will also conduct some essential physiological and psychophysical studies in order to uncover some unclear mechanisms that are important for developing efficient models. The ultra goal of the project within 3 years is to develop biological vision inspired models that can quite efficiently and effectively deal with the image processing problems like image denosing, enhancement, dehazing, luminance and color recovering, high-dynamic image rendering, color constancy, etc. This work is expected to provide novel ideas and models to potentially make breakthrough in theories and technologies of computer vision system.