问题描述
您好，
我使用DLP投影仪在玻璃表面上显示了部分棋盘。我用我的Raspberry pi相机捕捉玻璃表面上棋盘的虚像。
所得图像的质量非常差（由于闪烁和噪音）。我想使用OpenCV来增强我的图像quialty，使其至少具有与原始图像相同的灰度值。
目前图像很差，当我将其转换为灰度时，大多数线信息都会丢失。
有没有什么方法可以增强虚拟图像的质量，使其看起来与原始图像类似？摆弄图像的birghtness或对比度？
我尝试过的事情：
i试过
Hello,
I have displayed a partial chessboard on a glass surface using a DLP projector. I have used my Raspberry pi camera to capture the virtual image of the checkerboard on the glass surface.
The quality of the resulting image is very poor (due to flickering and noise). I want to use OpenCV to enhance my image quialty so that it atleast has the same grayscale value as the original.
Currently the image is so poor that when i convert it into grayscale, most of the line information is lost.
Is there any way that we can enhance the quailty of the virtual image to look similar to the original image? fiddling with the birghtness or contrast of the image?
What I have tried:
i tried
fastNlMeansDenoising
[]
但是当我在生成的图像上尝试我的图像对齐算法时，我的代码卡在无限循环中。
i也尝试了以下序列
灰度> Gaussain模糊（内核大小2）> 侵蚀>扩张。
生成的图像仍然质量很差
我也尝试过直方图均衡，但结果并没有改善
Denoising — OpenCV 2.4.13.2 documentation[^]
but then my code gets stuck in an infinite loop when i try my image alignment algorithms on the resulting image.
i have also tried the following sequence
grayscale > Gaussain blur (kernel size 2) > addweighted of gray scale and gaussian > erode > dilate.
The resulting image still has poor quailty
I have also tried histogram equilization, but the result doesnt improve
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