形象型网页设计中局部颜色特征优化方法仿真

发布时间：2018-05-12 13:42

本文选题：形象型网页 + 颜色特征　；参考：《计算机仿真》2017年11期

【摘要】：在网页设计中对其颜色特征进行优化,能够有效提高网页的视觉效果。对形象型网页的局部颜色特征的优化,需要先获取当前像素点的亮度水平,完成局部对比度增强。传统方法对三边滤波的滤波窗口进行角度倾斜,计算出图像像素最优邻域范围,但忽略了得到当前像素点,导致特征优化效果不理想。提出从视觉传达角度出发的基于多尺度Retinex的形象型网页局部颜色特征优化方法。该方法给定一个非线性映射模型分析形象型网页图像的统计特征,对其自适应调整整体亮度,得到形象型网页图像当前像素点的邻域平均亮度,以当前像素点的亮度水平与其邻域平均亮度之间的关系完成局部对比度增强,对形象型网页局部图像颜色进行恢复与校正处理,将局部区域图像进行加权融合处理实现颜色特征优化。实验结果表明,所提方法增强了形象型网页特征,改善了形象型网页图像的整体视觉效果。
[Abstract]:In the design of web pages, the color features can be optimized to improve the visual effect of web pages. To optimize the local color features of image web pages, we need to obtain the brightness level of the current pixel first, and complete the local contrast enhancement. The traditional method tilts the filtering window of triangulation to calculate the optimal neighborhood range of image pixels, but neglects to get the current pixel points, which leads to the unsatisfactory performance of feature optimization. A multi-scale Retinex based method for optimizing local color features of image web pages is proposed from the perspective of visual communication. In this method, a nonlinear mapping model is given to analyze the statistical characteristics of the image page image, and the global brightness is adjusted adaptively to obtain the neighborhood average brightness of the current pixel of the image page image. Based on the relationship between the luminance level of the pixel and the average brightness of the neighborhood, the local contrast is enhanced, and the local image color of the image page is restored and corrected. Color feature optimization is realized by weighted fusion of local region image. The experimental results show that the proposed method enhances the image page features and improves the overall visual effect of the image page image.
【作者单位】：青岛科技大学艺术学院;
【分类号】：TP391.41;TP393.092

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