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彩色图像多尺度融合灰度化算法
引用本文:顾梅花,王苗苗,李立瑶,冯婧.彩色图像多尺度融合灰度化算法[J].计算机工程与应用,2021,57(4):209-215.
作者姓名:顾梅花  王苗苗  李立瑶  冯婧
作者单位:西安工程大学 电子信息学院,西安 710600
基金项目:陕西省自然科学基础研究计划项目;国家自然科学基金
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。

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)  

Color Image Multi-scale Fusion Graying Algorithm
GU Meihua,WANG Miaomiao,LI Liyao,FENG Jing.Color Image Multi-scale Fusion Graying Algorithm[J].Computer Engineering and Applications,2021,57(4):209-215.
Authors:GU Meihua  WANG Miaomiao  LI Liyao  FENG Jing
Affiliation:School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710600, China
Abstract: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.
Keywords:color-to-gray conversion  image fusion  pyramid decomposition  Gradient Domain Guided Image Filter(GGIF)  
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