摘要
图像通信是通信中传输数据量最大的信息种类之一,人获得的80%以上的信息都来自于图像。在通信应用中,三维彩色图像矩阵的传输是否可以通过灰度二维图像矩阵实现,是需要解决的重要问题之一。学术界通常利用彩色插值算法处理图像信息以尽可能降低失真度,减少成像后摩尔条纹的影响。笔者从光学成像原理出发,首先对彩色数字图像获取方法进行梳理,然后利用计算仿真软件(Matlab)实现几种经典图像插值算法的数字仿真并比较效果。结果表明,各个算法对于边界等位置的色彩恢复都存在缺陷,未来需要进一步考虑边界斜率的插值方法,以实现更加自然的色彩恢复效果。
Image communication is one of the information types with the largest amount of data transmission in communication.More than 80%of the information obtained by people comes from images.In the application of communication,whether the transmission of 3D color image matrix can be realized by 2D gray image matrix is one of the important problems to be solved.In order to reduce the distortion and the influence of moire fringes,the color interpolation algorithm is usually used to process image information.Starting from the principle of optical imaging,the author first combs the methods of color digital image acquisition,and then uses MATLAB to realize the digital simulation of several classic image interpolation algorithms and compares the results.The results show that each algorithm has defects for color restoration of boundary and other positions.In the future,we need to further consider the interpolation method of boundary slope to achieve a more natural color restoration effect.
作者
刘赛
Liu Sai(Suzhou University of Science and Technology,Suzhou Jiangsu 215009,China)
出处
《信息与电脑》
2020年第11期49-52,共4页
Information & Computer
关键词
彩色图像
插值算法
通信
color image
interpolation algorithm
communication
