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作 者:院霖享 董霙达 多化琼[1] 王明涛 YUAN Lin-xiang;DONG Ying-da;DUO Hua-qiong;WANG Ming-tao(College of Materials Science and Art Design,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,P.R.China)
机构地区:[1]内蒙古农业大学材料科学与艺术设计学院,内蒙古呼和浩特010018
出 处:《林产工业》2024年第2期29-33,共5页China Forest Products Industry
基 金:内蒙古自治区重点研发和成果转化计划项目“现代数学技术在非遗蒙古族家具纹样保护传承利用中的应用”(2022YFDZ0031)。
摘 要:为提高蒙古族家具纹样图像的全局对比度、颜色和精细细节,提出了一种基于改进的多尺度融合和USM的图像增强算法。首先对图像采用非锐化掩模技术增强纹样的细节区域,在此基础上进行白平衡处理,然后根据对比度的需求定义权重,最后进行多尺度融合能更好地体现出图像中有价值的信息和样式。结果表明:该算法能突出纹样的细节部位,图像颜色更加自然直观,有效地增强了蒙古族家具纹样的图片;该方法可为缺失纹路的蒙古族家具纹样复原提供技术支撑,同时对蒙古族家具纹样的保护具有重要意义。In order to improve the global contrast,color and fine details of Mongolian furniture patterns,an image enhancement algorithm based on improved multi-scale fusion and USM was proposed.Firstly,the image was enhanced by non-sharpening mask.Then white balance was processed,and the weight was defined according to the need of contrast.Finally,multi-scale fusion can better reflect the valuable information and patterns in the image.The results showed that the algorithm can highlight the details of the pattern,the image color more natural and intuitive.The method can effectively enhance the image of Mongolian furniture patterns,and provide technical support for the restoration of Mongols furniture patterns without patterns,and was of great significance for the protection of Mongols furniture patterns.
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