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基于小波分析和伪彩色处理的低对比度图像增强
Low-contrast image enhancement based on wavelet and pseudocolor processing
【摘要】 提出了一种对低对比度图像进行增强处理的新技术。在对传统的伪彩色增强技术改进的基础上,将小波分析和伪彩色两种方法有机地相结合,从而克服了这两种方法的缺陷,获得了良好的增强效果。同时对实现低对比度图像增强的基本方法和基本步骤进行了详细的阐述,并将该技术应用到透视图像分析中。实验结果证明了该方法的可行性,该方法为低对比度图像增强处理提供了一种新途径。
【Abstract】 A new technique is proposed to enhance low-contrast images. The technique combines wavelet processing with pseudocolor processing after improving the traditional pseudocolor processing, thus overcomes the defects of wavelet and pseudocolor processing. The principles and steps of low-contrast image enhancement method are explained. The method is applied to mri images.The definition of images is highly improved after the technique contrasting to common method. The experiment proves the validity of this technique, and it provides a new way to dispose low-contrast images.
【Key words】 wavelet analysis; pseudocolor; low contrast; grey level; pixel;
- 【文献出处】 光学技术 ,Optical Technique , 编辑部邮箱 ,2004年03期
- 【分类号】TN911.73
- 【被引频次】15
- 【下载频次】474