Poor paper quality (crinkles and folds) when trying to perform OCRįrom the perspective of image processing and computer vision, you should think of noise as anything that could be removed by a really good pre-processing filter.Image perturbations produced by an image scanner or threshold post-processing.Random variations in brightness or color.Produced by a faulty or poor quality image sensor.Today, we’re going to take a deeper dive and learn how autoencoders can be used for denoising, also called “noise reduction,” which is the process of removing noise from a signal. Last week you learned the fundamentals of autoencoders, including how to train your very first autoencoder using Keras and TensorFlow - however, the real-world application of that tutorial was admittedly a bit limited due to the fact that we needed to lay the groundwork. ![]()
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