【摘要】 针对红外图像的特点,提出了一种红外图像实时增强的新算法。该算法通过分析图像的直方图,得到图像中目标像素数峰值的估计值,并作为平台直方图均衡化的阈值。用该阈值对直方图进行修正,然后通过修正后的直方图进行直方图均衡化。在FPGA内通过采用并行处理结构及流水线技术实现了该算法,并且每秒可处理25帧128×128×8bits的红外图像。理论分析和实验结果均表明,本算法克服了采用一般直方图均衡化增强红外图像的缺点?对背景和噪声增强过度,抑制了目标的增强。该算法对红外图像增强后,图像对比度是直方图均衡化增强后图像对比度的1.8倍。更多还原

【Abstract】 A new real-time contrast enhancement algorithm for infrared images is presented. Byanalyzing the histogram of image and self-adaptively selecting threshold value, the modified histogramis gotten. This algorithm can greatly enhance the contrast of infrared images by histogram equalizationusing the modified histogram. It has advantages of enhancing targets and suppressing backgrounds overgeneral histogram equalization. The contrast of images enhanced by this algorithm is improvedapproximately 1.8 times than that of images enhanced by general histogram equalization. And it can beeasily implemented by in FPGA for real-time imaging applications. This paper describes a simple andeffective implementation of this algorithm by using pipeline and parallel computation architecture. It canprocess 25 frames images of 128×128×8bits per second.更多还原