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作 者:陈振跃[1] 王霞[1] 张明阳[1] 金伟其[1]
机构地区:[1]北京理工大学光电学院光电成像技术与系统教育部重点实验室,北京100081
出 处:《北京理工大学学报》2014年第3期294-298,共5页Transactions of Beijing Institute of Technology
基 金:国家自然科学基金重点资助项目(61231014)
摘 要:传统的灰度级压缩算法存在无法自动识别感兴趣灰度范围,并且经过压缩后图像必然丢失一部分信息的问题.文中针对高位灰度图像提出了一种假彩色显示的方法,对高位图像的灰度级采样,并映射到HSV颜色空间中H通道;压缩图像灰度级使其包含在0~255内,并将其映射到V图层;对图像进行归一化处理,并将其映射到S图层;最后将图像从HSV颜色空间转换到RGB颜色空间进行显示.主观和客观评价结果显示,该方法能最大限度显示高位图像包含的细节.The traditional image compression algorithms have some problems, one of which is that they cannot recognize the interesting gray scale automatically. Besides, the useful information may be lost after compression. In this paper, a false color tone mapping method was proposed to show the high-bit gray images. Firstly, the gray levels were sampled and mapped into the H layer of HSV color space. Secondly,the gray levels were compressed so that they fall into the rang from 0 to 255 and mapped into the V layer. Thirdly, the image was normalized and mapped into the S layer. Finally, the image display was transferred from HSV space to RGB space. Subjective and objective assessments show that the proposed method can show the details of high-bit images to the utmost extent.
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