融合VHIST人眼感知的包装设计方法

Packaging design method based on human visual perception of vhist

为了有效解决产品包装设计中存在的图像受到人眼感知及成像限制的问题,此次课题实验将VHIST人眼感知技术融入到包装设计方法中,分析人眼感知技术特性,构建图像灰度直方图,完成对图像特征的评价。结果显示,基于VHIST的图像增强算法对比度、信息熵等分别为45.23、7.98 bit,远高于传统算法。这表明融合VHIST人眼感知的包装设计方法,能够在充分利用人眼感知技术特性的基础上,显著改善其图像质量;相较于传统算法而言,基于VHIST人眼感知的图像处理算法具有更优的图像评价效果,能够清晰地呈现出包装设计图像中的重要信息。融合VHIST人眼感知的包装设计方法,能够有机结合人眼感知技术的特性与产品包装设计的视觉空间要求,实现对产品包装设计图像的增强。

In order to effectively solve the problem that the image in product packaging design is limited by human eye perception and imaging, this experiment integrates vhist human eye perception technology into packaging design method, analyzes the characteristics of human eye perception technology, constructs image gray histogram, and completes the evaluation of image features. The results show that the contrast and information entropy of the image enhancement algorithm based on vhist are 45.23 and 7.98 bit respectively, which are much higher than those of the traditional algorithm. This shows that the packaging design method based on vhist human eye perception can significantly improve the image quality on the basis of making full use of the characteristics of human eye perception technology;Compared with the traditional algorithm, the image processing algorithm based on vhist human eye perception has better image evaluation effect, and can clearly present the important information in the packaging design image. The packaging design method based on vhist human eye perception can organically combine the characteristics of human eye perception technology with the visual space requirements of product packaging design, and realize the enhancement of product packaging design image.