Fundamentals of image smoothing

via Udemy

Go to Course: https://www.udemy.com/course/fundamentals-of-image-smoothing/

Overview

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 me step by step to build following answersIntroduction to image smoothingLearn how to apply kernel to image using smoothingBuild an jupyter notebook step by step using opencv and python and learn effects like bilateral smoothing, gaussian blur, median blur and average blur.What am I going to get from this course?Learn fundamentals of image smoothing and build image smoothing tasks from professional trainer from your own desk.Over 10 lectures teaching you how to perform image convolution using opencv and pythonSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

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