基于层次增强的彩色印刷图像处理研究
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摘要
彩色图像阶调层次校正是印刷图像处理中的一个重要环节之一。将设计一些图像阶调层次校正的处理模块,建立以参数控制为主的图像阶调层次校正处理流程。研究过程将利用幂函数实现输入色阶校正算法,采用线性函数实现输入色阶校正算法,依据直方图均衡化实现直方图校正算法。实验结果表明,所设计的功能模块能够在图像阶调层次校正中满足后续印刷环节的需要,其检测数据也说明图像处理的具有较强的可靠性,应用也及为方便。
Color image gradation correction is one of the important steps in printing image processing. Designs some processing modules of image halftoning level correction, and establishes a processing flow of image halftoning level correction based on parameter control. The power function is used to implement the input level correction algorithm, the linear function is used to implement the input level correction algorithm,and the histogram equalization is used to implement the histogram correction algorithm. The experimental results show that the designed functional module can meet the needs of the subsequent printing process in the image gradation level correction, and its detection data also shows that the image processing has a strong reliability, and the application is also convenient.
Color image gradation correction is one of the important steps in printing image processing. Designs some processing modules of image halftoning level correction, and establishes a processing flow of image halftoning level correction based on parameter control. The power function is used to implement the input level correction algorithm, the linear function is used to implement the input level correction algorithm,and the histogram equalization is used to implement the histogram correction algorithm. The experimental results show that the designed functional module can meet the needs of the subsequent printing process in the image gradation level correction, and its detection data also shows that the image processing has a strong reliability, and the application is also convenient.
引文
[1]朱立新,王平安,夏德深.基于梯度场均衡化的图像对比度增强[J].计算机辅助设计与图形学学报,2007(12):1546-1552.
[2]盛道清.图像增强算法的研究[D].武汉:武汉科技大学,2007.
[3]王守觉,丁兴号,廖英豪,郭东辉.一种新的仿生彩色图像增强方法[J].电子学报,2008(10):1970-1973.
[4]张威,赵天玉,孙玉秋.基于高频提升滤波与直方图均衡化的图像增强方法[J].长江大学学报(自科版),2013,10(28):22-25+4
[5]李艳梅.图像增强的相关技术及应用研究[D].电子科技大学,2013.
[6]李哲学.改进高斯混合模型的遥感图像增强方法[J].激光杂志,2016,37(07):31-34.
[7]何露露.Photoshop图像处理技术分析[J].信息与电脑(理论版),2016,(15):114-116.
[2]盛道清.图像增强算法的研究[D].武汉:武汉科技大学,2007.
[3]王守觉,丁兴号,廖英豪,郭东辉.一种新的仿生彩色图像增强方法[J].电子学报,2008(10):1970-1973.
[4]张威,赵天玉,孙玉秋.基于高频提升滤波与直方图均衡化的图像增强方法[J].长江大学学报(自科版),2013,10(28):22-25+4
[5]李艳梅.图像增强的相关技术及应用研究[D].电子科技大学,2013.
[6]李哲学.改进高斯混合模型的遥感图像增强方法[J].激光杂志,2016,37(07):31-34.
[7]何露露.Photoshop图像处理技术分析[J].信息与电脑(理论版),2016,(15):114-116.