Removing noise and enhancing image to improve the quality of image is the important item of medical image processing.
去除噪声，增强图像以提高图像质量是医学图像处理的重要课题。
As the foggy image degrading is closely related to the scene depth, common image processing methods cannot achieve perfect enhancing and restoring effect.
由于雾天图像的退化是与图像的场景深度密切相关，因此，常见的图像处理方法并不能取得很好的增强和恢复效果。
Image enhancing, color adjusting, RGB heft extracting, mathematical morphology processing are implemented according to the set sequence.
依次为颜色调整、抽取rgb之一的分量、数学形态学处理。
The application of digital image processing technology to sampling, restoring, noise-suppressing and enhancing of X-ray images is described. Mathematical models of the processing are also given.
阐述了数字图象处理技术在射线图象采样、复原、降噪和增强过程中的应用，给出了处理过程的数学模型。
The application of digital image processing technology to sampling, restoring, noise-suppressing and enhancing of X-ray images is described. Mathematical models of the processing are also given.
阐述了数字图象处理技术在射线图象采样、复原、降噪和增强过程中的应用，给出了处理过程的数学模型。
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