彩色图像多尺度融合灰度化算法  

Color Image Multi-scale Fusion Graying Algorithm

作　　者：顾梅花[1] 王苗苗 李立瑶 冯婧 GU Meihua;WANG Miaomiao;LI Liyao;FENG Jing(School of Electronics and Information,Xi’an Polytechnic University,Xi’an 710600,China)

机构地区：[1]西安工程大学电子信息学院,西安710600

出　　处：《计算机工程与应用》2021年第4期209-215,共7页Computer Engineering and Applications

基　　金：国家自然科学基金(61901347);陕西省自然科学基础研究计划项目(2018JQ4016)。

摘　　要：为了使彩色图像灰度化后能够保留更多的原始特征,提出了一种新的基于多尺度图像融合的灰度化算法。将彩色图像分解为R、G、B三个通道图像,采用基于高斯-拉普拉斯金字塔的多尺度图像融合模型进行灰度化,并引入梯度域导向图像滤波(Gradient Domain Guided Image Filter,GGIF)来消除多尺度融合可能产生的伪影。将灰度化问题转换为保持三个通道单色图像特征的多尺度融合问题。实验结果表明,与其他灰度化算法相比,所提算法对边缘信息敏感,并能够在较亮或较暗区域检测出更多的图像细节特征。To preserve more original features after decolorization,this paper presents a new color-to-gray conversion algorithm based on multi-scale image fusion principles.The color image is decomposed into three monochrome channel images:R,G and B,the multi-scale image fusion model based on Gaussian-Lapacian pyramid is adopted to convert color image into gray image,the Gradient Domain Guided Image Filter(GGIF)is employed to eliminate the artifacts that may be produced by multi-scale fusion.The decolorization problem is transformed into a multi-scale fusion problem that preserves the image features of three monochromatic channels in a fusion image as far as possible.Experimental results show that the proposed algorithm is more sensitive to edge information compared with the existing state-of-the-art decolorization techniques,and can preserve the detailed features which are lost in the other methods in bright or dark areas.

关 键 词：灰度化 图像融合 金字塔分解 梯度域导向图像滤波(GGIF) 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]