Fundamentals of image smoothing

Partner: Udemy
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Description: Course DescriptionLearn to process images by learning fundamentals of image smoothing using opencv and popular programming language Python.Build a strong foundation in Image Processing with this tutorial for beginners.Understanding of how images are processed as array of RGB pixel intensitiesLearn basics of smoothing using kernels and convolutionLeverage OpenCV and Python to perform smoothing to create effects like bilateral blur, gaussian blur, median blurUser Jupyter Notebook for programmingUse step by step instructions along with plenty of examplesA Powerful Skill at Your Fingertips  Learning the fundamentals of image smoothing puts a powerful and very useful tool at your fingertips. Python, opencv and Jupyter are free, easy to learn, has excellent documentation.Image smoothing is ubiquitous in everyday applications such as edge detection, advertisement image quality improvements. Its also pre-requisite for computer vision applications using machine learning.Jobs in image processing area are plentiful, and being able to learn opencv and python will give you a strong edge.Image smoothing tasks are becoming very popular. Amazon, Walmart, Google eCommerce websites are few famous example of image smoothing in action. Convolutional neural network (CNN) uses these techniques to find edges. Deep neural network inside CNN learns these patterns by trying out various kernels to match image with target image.Image processing tasks are vital in information retrieval and computer vision applications .  Big advertising companies and Hollywood studios already using image smoothing in improving image quality. Content and Overview  This course teaches you on how to smooth images using opencv, python and Jupyter framework.  You will work along with
Category: Development > Data Science > Image Editing
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Price: 19.99
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