一种以色彩校正与块匹配为视角的图像配准算法

An image registration algorithm based on color correction and block matching

图像匹配算法在对图像的处理中,容易受到噪声、色彩不一致和图形模糊等影响,导致图像匹配的效率和精度变低。在各种算法中,难以做到效率和匹配精度的兼顾。文章基于三基色的通道识别,进行色彩校正,并根据Gamma校正算法计算图像的补偿值,补偿内容包含图片的色彩校正和构图校正。选用Gamma值校正图像,并根据Gamma公式进行计算,按照方程对图像色彩进行补偿,对色彩进行校正;根据块匹配算法对图像构图进行优化匹配。针对图像的模糊、色彩不一致和噪声图像等问题进行优化处理,按照图像配比算法与核对算法配合色彩校正以及块匹配的具体操作为视角,应用于动画的自动生成,按照具体的算法核对方式,确定了色彩校正的具体方向,并且按照具体的匹配方向,结合动画的构图和色彩等功能,提出一定的思路。

In the image processing,image matching algorithms are easily affected by noise,color inconsistency and graphics,which leads to low efficiency and precision of image matching.And in various algorithms,it is difficult to achieve both efficiency and matching accuracy.In this paper,the channel recognition based on three primary colors,color correction,and according to the gamma Correction algorithm to calculate the image compensation value,compensation content includes image color correction and composition correction.The image color is compensated and the color is corrected according to the equation,and the image composition is optimized according to the block matching algorithm.It is applied to the automatic generation of animation,according to the specific algorithm checking method,the specific direction of color correction is determined,and according to the specific matching direction,combining the composition of animation and the specific functions of color,some ideas and put forward.