【摘要】 针对微光电视图像像质缺陷,提出了基于数字图像处理的解决方法。讨论了对微光电视图像进行数字化处理的基本要求,论述了微光电视图像的像质缺陷来源和特点。针对微光电视图像的噪声污染现象,给出了用两种适用实时处理的空间域去除噪声方法。采用直方图均衡化的灰度变换方法来克服微光电视图像显视动态范围偏低的缺点,并通过编程得到了可行有益的微光电视图像的像质改善效果。更多还原

【Abstract】 Solving method based on digital image processing for the image defects of low-light level television is introduced in this paper.The sources of the defects for low-light level television image and the basic requirements for digital processing are discussed.Two space field filtering methods are used to obtain the noise removing,and the detail has been less modified.For the defect of low displaying range and low contrast between objects and backgrounds,a kind of gray degree transforming method of the gray-level histogram for enhancement is used.The results of the experiments to apply the above mentioned algorithm to a feasible and real-time image processing system show satisfying effect.更多还原