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Design and Implementation of Gain-Offset Correction Algorithm Hardware Architecture for Grayscale and Color Images Contrast Enhancement

机译:用于灰度和彩色图像对比度增强的增益偏移校正算法硬件架构的设计与实现

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This paper describes the design and implementation of a novel, high-speed hardware (HW) architecture for the gain-offset correction (GOC) image contrast enhancement algorithm on an FPGA fabric. The design is extremely fast and has been shown to process megapixel image frames at frame rates greatly exceeding real-time requirements. The design is small and compact enough to fit on small FPGAs to form a low-cost image processing solution. The automated nature of the contrast enhancement operation is due to the computation of global image statistics for each image. The architecture does not store any image frames to perform this task, heavily reducing memory requirements.
机译:本文介绍了一种新颖的高速硬件(HW)架构的设计和实现,该架构用于FPGA架构上的增益失调校正(GOC)图像对比度增强算法。该设计速度非常快,并且已经证明可以以大大超出实时要求的帧速率处理百万像素图像帧。该设计小巧紧凑,足以安装在小型FPGA上,从而形成了低成本的图像处理解决方案。对比度增强操作的自动化性质是由于对每个图像进行了全局图像统计计算。该体系结构不存储任何图像帧来执行此任务,从而大大减少了内存需求。

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