花卉图像色彩信息灰阶串扰量化方法仿真

图像颜色的完善匹配可以更有效率地提高整体视觉效果,但目前针对图像颜色的完善匹配,需提取出部分颜色分量的数据因子,以便于在完成匹配后,让目标图像拥有与初始图像相同的色彩,为了确保可以直观的评价出在立体显现中的串扰现象,提出花卉色彩信息灰阶串扰量化方法。提取花卉图像色彩信息特征,构建其2RGB模型,以减小光照和阴影对处理结果的影响。将图像的内容做灰阶串扰数值量化处理,选择出几张拥有特殊性的立体图像并对其提出平均灰阶转换概念。量化实验结果表明:所提方法可以有效完善串扰现象、提升整体视觉舒适度,其量化针对于评价显示器的灰阶串扰拥有优秀的适用性与便捷性。

Simulation of Grayscale Crosstalk Quantitative Method for Flower Image Color Information

The improvement of image color matching can more effectively improve the overall visual effect.At present,it is necessary to extract data factors of partial color components.However,the color of target image must be the same as the initial image.In order to intuitively evaluate the crosstalk phenomenon,a gray-scale crosstalk quantization method for flower color information was put forward.The color information features of flower image were extracted to build 2RGB model,so as to reduce the influence of light and shadows on the results.The contents of image were quantified by gray-scale crosstalk.Several special stereo images were selected.Finally,the concept of average gray-scale conversion was proposed.Quantitative simulation results show that the proposed method can effectively improve the crosstalk phenomenon and enhance the overall visual comfort.Meanwhile,its quantization has excellent applicability and convenience for grey-scale crosstalk of evaluating display.