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首页> 外文会议>International Symposium on Multispectral Image Processing and Pattern Recognition >A new adaptive non-uniformity correction algorithm of IRFPA and its VLSI architecture design
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A new adaptive non-uniformity correction algorithm of IRFPA and its VLSI architecture design

机译：IRFPA的新自适应非均匀性校正算法及其VLSI架构设计

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Scene-based adaptive non-uniformity correction (NUC) of Infrared Focal Plane Array (IRFPA) has been a key technology. However, all the scene-based correction methods require that the objects be in the state of motion. Once objects that don't move enough tend to be "melt" into the background, the target fade-out and ghost artifacts will occur in the corrected image. On the other hand, although some scene-based algorithms eliminate the non-uniformity effectively, the computations are complicated, and so it is difficult to be implemented by VLSI technique. In this work we propose a new adaptive algorithm based on motion information and the steep descent method. The simulation shows that the new algorithm has inhibited target fade-out and eliminated the ghost artifacts effectively. As the proposed algorithm characterized by inherent parallelism, modularity and regularity, we also propose its parallel VLSI architecture and implement it using 0.18μm CMOS technology.
机译：基于场景的自适应非均匀性校正（IRFPA）的红外焦平面阵列（IRFPA）是一个关键技术。但是，所有基于场景的校正方法都要求对象处于运动状态。一旦不足以移动的物体往往是“熔化”到背景中，校正图像中将发生目标淡出和幽灵伪像。另一方面，尽管基于某些场景的算法有效地消除了不均匀性，但计算是复杂的，因此难以通过VLSI技术实现。在这项工作中，我们提出了一种基于运动信息和陡峭滴定方法的新的自适应算法。仿真表明，新算法抑制了目标淡出并有效地消除了鬼魂伪影​​。作为具有固有的并行性，模块化和规律性的所提出的算法，我们还提出了其并行VLSI架构并使用0.18μmCMOS技术实现。

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