一种硬件友好型自动图像增强算法与实现

Design and Implementation of a Hardware-Friendly Automatic Image Enhancement Algorithm

由于现有的图像增强算法难以兼顾处理效果和运算速度两方面的要求,文章提出了一种适合于硬件电路实现的自动图像增强算法,用于实现图像品质的实时提升。以图像中直方图分布情况作为图像品质的评价依据,利用分段线性变换方法实现图像品质增强。算法的核心是构建了直方图与分段函数系数之间的定量关系,实现了系数的自动计算,设计实现了相应的FPGA系统结构。采用高效的并行流水线结构,通过发挥硬件模块内部潜在的并行度以确保系统的实时处理能力。仿真和成像试验表明,基于该算法设计实现的FPGA硬件电路开销少,实时性好,适应性强,针对不同的场景均取得较好的处理效果,具有广阔的应用前景。

Because the existing image enhancement algorithm is difficult to balance the two aspects of processing effect and speed requirements, this paper proposes a hardware-friendly automatic image enhancement algorithm for improving image quality in real time. Image quality evaluation is based on the histogram distribution in the image, and image quality enhancement is based on piecewise linear transformation The core of the proposed algorithm is to establish the quantitative relationships between the histogram distribution and the coefficients of the piecewise linear function. And as a result, the coefficients can be automatically calculated. Furthermore, the corresponding FPGA system architecture is implemented. Especially, the high-performance parallel pipelined technology and inner potential parallel processing ability of the modules are paid more attention to ensure the real-time processing ability of the complete system. The simulations and the experimentations show that the proposed FPGA system costs less hardware resources and is characterized as real-time processing ability and good adaptability. It can achieve good processing effects for different sceneries, and can be used in various practical applications.