Fundamentals of image smoothing

Fundamentals of image smoothing, available at $49.99, has an average rating of 5, with 19 lectures, based on 2 reviews, and has 14 subscribers.

You will learn about Apply image smoothing effects like bilateral smoothing, gaussian blur, median blur and average blur to remove noise in the image Understanding of how images are processed as array of RGB?pixel intensities Learn basics of smoothing using kernels and convolution Leverage OpenCV and Python to perform smoothing to create effects like bilateral blur, gaussian blur, median blur This course is ideal for individuals who are Beginner python developers curious about image processing It is particularly useful for Beginner python developers curious about image processing.

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Summary

Title: Fundamentals of image smoothing

Price: $49.99

Average Rating: 5

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Apply image smoothing effects like bilateral smoothing, gaussian blur, median blur and average blur to remove noise in the image

Understanding of how images are processed as array of RGB?pixel intensities

Learn basics of smoothing using kernels and convolution

Leverage OpenCV and Python to perform smoothing to create effects like bilateral blur, gaussian blur, median blur

Who Should Attend

Beginner python developers curious about image processing

Target Audiences

Beginner python developers curious about image processing

Course Description

Learn 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 intensities

Learn basics of smoothing using kernels and convolution

Leverage OpenCV and Python to perform smoothing to create effects like bilateral blur, gaussian blur, median blur

User Jupyter Notebook for programming

Use step by step instructions along with plenty of examples

A 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 answers

Introduction to image smoothing

Learn how to apply kernel to image using smoothing

Build 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 python

Suitable 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Introduction to image convolution

Lecture 3: Why study image convolution?

Lecture 4: About Author

Chapter 2: Setup

Lecture 1: Install Anaconda

Lecture 2: Install OpenCV Part I

Lecture 3: Install OpenCV Part II

Chapter 3: Image fundamentals

Lecture 1: Math Intro

Lecture 2: Anatomy of an image

Lecture 3: Basic operations on image

Lecture 4: Math operation on images

Chapter 4: Basics of convolution

Lecture 1: Convolution math basics

Lecture 2: Show me the code

Lecture 3: Convolution in action

Chapter 5: Leveraging convolution for smoothing and blurring operation

Lecture 1: Average smoothing

Lecture 2: Gaussian blur

Lecture 3: Median Blur

Lecture 4: Bilateral Blur

Lecture 5: Next Steps

Instructors

Evergreen Technologies
Software Mentor

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4 stars: 0 votes

5 stars: 2 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!