频域内分位数的蒙古族家具纹样增强算法  

Enhancement Algorithm of Mongolian Furniture Pattern Based on Quantile in Frequency Domain

作　　者：杜豫怡 王鹏章 多化琼[1] 董霙达 DU Yuyi;WANG Pengzhang;DUO Huaqiong;DONG Yingda(College of Materials Science and Art Design,Inner Mongolia Agricultural University,Hohhot 010018,China)

机构地区：[1]内蒙古农业大学材料科学与艺术设计学院,呼和浩特010018

出　　处：《计算机工程与应用》2021年第12期207-210,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(31760185)。

摘　　要：为了使灰度图像的细节更加突出、可视性增强,提出一种基于离散余弦变换与分位数算法结合的图像增强方法。通过离散余弦变换提取出图像的低频分量,图像高频分量保持不变。对低频分量进行分位数的细分,使参与增强过程低频分量的增强级别具有选择性,再分别对这些子直方图进行直方图均衡化,使图像对比度增强。将处理后的低频分量与未处理的高频分量进行逆变换,得到增强后的图像。选取蒙古族家具纹样,与传统的自适应直方图均衡化算法及方向自适应插值算法相比较,提出的方法在蒙古族纹样增强方面具有更好的视觉效果,其评价指标也有显著提高。In order to make the details of the grayscale image more prominent,the visibility is enhanced.This paper pres-ents an image enhancement method based on discrete cosine transform and quantile algorithm.The low frequency compo-nent of the image is extracted by discrete cosine transform,while the high frequency component remains unchanged.The quantile of the low-frequency components is subdivided to make the enhancement level of the low-frequency components involved in the enhancement process selective,and then the sub-histograms are equalized by histogram to enhance the image contrast.The processed low frequency component and the untreated high frequency component are inversely con-verted to obtain the enhanced image.In this paper,Mongolian furniture patterns are selected,and compared with the tradi-tional adaptive histogram equalization algorithm and directional adaptive interpolation algorithm,this method has a better visual effect in the enhancement of Mongolian patterns,and its evaluation index is also significantly improved.

关 键 词：分位数 图像增强算法 高频分量 低频分量 离散余弦变换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]