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Episode Synopsis "Enhance Your Images using OpenCV Noise Reduction Algorithm"
In this article, I will show you how to do noise reduction in 3 simple steps. We will be using a machine learning trained noise reduction model. It is one of the best noise reduction models I’ve found out there. I will share more about the model and how to apply it in the following paragraphs. In this project, we will be using three python packages. The packages are as follows: OpenCV, Matplotlib, and NumPy. OpenCV is a very well-known kit for computer vision. As a prerequisite for OpenCV library, we will need to install Numpy. We transform pixels into arrays when reading an image; NumPy is going to do that in the behind scenes. When dealing with multi-dimensional arrays, NumPy is perfect. This episode is also available as a blog post: http://sonsuzdesign.blog/2021/02/27/enhance-your-images-using-opencv-noise-reduction-algorithm/
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