이중 선형 보간법의 효과는 가장 가까운 이웃 보간법의 효과보다

The effect of the double linear interpolation method is better than the effect of the nearest neighbor interpolation method, but the calculation amount is relatively large, the calculation process is complicated, and the program execution time is long, but the image quality of the calculation is high and the nearest neighbor interpolation method does not occur by default. There are. A characteristic of discontinuous gradation values ​​is that they take into account the effect that four direct neighbors around the sampling point will measure at the sampling point. However, this method has its drawbacks. There is a low pass filter because only 4 direct neighbors around the sample point have an effect on the gray value, but not the effect of the gray value between neighboring points on the sampling point. And the edges of the image are somewhat blurred. The output image scaled by the double-line interpolation method has poor design of the interpolation function compared to the input image, resulting in poor image quality and poor calculation accuracy.

The effect of double linear interpolation is better than the effect of the nearest neighbor interpolation, but the calculation is relatively large, the calculation process is complex, the time to run the program is long, but the image quality of the calculationist is high and the nearest neighbor interpolation does not occur by default. The characteristic of discrete gradation values is that four direct neighbors around the sampling point take into account the impact to be measured at the sampling point. However, this method has its drawbacks. There is a low pass filter because of this characteristic, the high frequency component of the running image is lost and the edges of the image are somewhat blurred, as the four direct neighbors around the sample point only take into account the effect of gray values, but the impact of gray values between the neighbor points for the sampling point is taken into account. Output images scaled with double-wire interpolation are poorly designed for interpolation when compared to input images, resulting in poor image quality and poor calculation accuracy.

其中，线性步间法的效果比最近的邻里步间法的效果好，但是计算量相对多，计算过程复杂，执行程序的时间长，计算的形象质量最高，最接近的邻里之间法基本不会发生。不连续系造价的特点是，在采样点周边有4个直接邻居在采样点中测定的影响。但是这个方法有缺点。虽然只考虑样本点周围的4个直接邻居对灰色值的影响，但是不考虑采样点之间的灰色值的影响，因此有低通过滤器，因此运行中的图像高频成分会被损坏，图像的高频成分会丢失，边缘有点模糊。其中，通过线谱法进行拼凑的输出图像与输入图像相比，保干功能的设计不好，图像质量下降，计算准确度下降。<br>