摘要
针对传统视觉表达的艺术图像重建方法中,建模图像由于扫描数据不精确造成图像不清晰问题,提出一种基于视觉传达效果的传统艺术图像重建方法。采用灵敏度差分算法进行数据的归类划分,保证了数据的有效性,同时在数据转换过程中保证计算的准确度。运用非均匀图像插值方法进行图像数据的处理,能更加准确地表达图像属性特点,保证了图像的清晰度和分辨率。为了验证所提方法的有效性,还设计了对比仿真实验,实验结果表明,所提的基于视觉传达效果的传统艺术图像重建方法能够有效地解决上述图像不清晰的问题。
Since the modeling image is unclear due to the inaccurate scanning data in artistic image reconstruction method of the traditional visual expression, a traditional artistic image reconstruction method based on visual communication effect is put forward. The sensitivity difference algorithm is used for data classification and division to ensure the data validity and guaran- tee the calculation accuracy in the process of data transformation. The non-uniform image interpolation method is adopted to pro- cess the image data, which can express the image property features accurately and guarantee the image sharpness and resolu- tion. In order to verify the validity of the traditional artistic image reconstruction method based on visual communication effect, a comparative simulation experiment was designed. The experimental results show that the proposed traditional artistic image recon- struction method based on visual communication effect can solve the problem of the image unsharpness effectively.
出处
《现代电子技术》
北大核心
2017年第24期118-120,共3页
Modern Electronics Technique
基金
陕西省社会科学基金项目(2013I12)
宝鸡文理学院校内重点研究项目(ZK09118)
关键词
视觉传达效果
艺术图像
图像重建方法
灵敏度差分算法
visual communication effect
artistic image
image reconstruction method
sensitivity difference algorithm
