计算机科学 ›› 2023, Vol. 50 ›› Issue (11A): 221100153-8.doi: 10.11896/jsjkx.221100153
陈美颖, 毕秀丽, 刘波
CHEN Meiying, BI Xiuli, LIU Bo
摘要： 图像是人与人之间进行交流的重要媒介,在信息高速发展的今天,利用图像重定向技术使图像能满足各式各样的设备尺寸具有重要意义。基于网格的图像重定向算法首先对输入图像生成对应的规则矩形网格,然后根据该网格内的图像内容来评估图像像素权重以此决定此网格的变形程度,对图像全局进行不断迭代直到图像重定向终止条件。此类算法仍存在对图像内容评估不全面的问题,进而导致输出图像结构扭曲、难以保持结果图像的对角线特征以及整体结构等问题。针对以上问题,提出了一种基于超像素、梯度以及显著性的图像重定向方法。首先利用超像素方法对输入图像做预处理,然后用超像素块作为后续处理单位,随后利用基于梯度和显著性的图像像素权重评估方法对超像素处理输出图像进行权重度量,输出一幅图像重定向权重热力图,最后根据此重定向权重热力图对网格进行迭代优化,实现对图像的重定向处理。实验结果表明,相比对比方法所提方法在6种无参考图像质量评估指标上都有一定优越性,在语义合理性、信息准确性和视觉自然性上都具有一定优势,在图像重定向领域有较大的应用价值。
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