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Advanced Image Processing
Rating: 4.0 out of 5(63 ratings)
2,431 students

Advanced Image Processing

Learn Advanced Image Processing with live project demonstration in 2 hours.
Created byAjay Dhruv, Ph.D., Shubham Patil, Neha Mayekar, Shreya Pattewar
Last updated 4/2021
English
English

What you'll learn

  •  Understand the fundamentals of Image Compression, Image Morphology, Tools of Image Processing, Applications of Medical Image Processing
  •  To understand the different techniques and algorithms of image compression.
  •  To study the use of different tools on image processing.
  •  To understand how these different domains are distinct and how they collaborate as well.
  •  To apply these concepts in real life applications.

Course content

5 sections • 12 lectures • 1h 1m total length

  • Introduction to Compression1:26

    Explore image compression, separating redundant and irrelevant information to reduce size through lossless and lossy methods, balancing memory use, quality, and reversibility for text and multimedia.

  • Run Length Encoding2:41

    Explore lossless compression with run length encoding (RLE) in image processing, following a five-step workflow and a hands-on example that compares pre- and post-compression sizes.

  • Arithmetic Coding6:18

    Learn arithmetic coding for lossless compression by encoding symbol sequences through iterative interval refinement and retrieving the code word from the final interval using max-min times probability plus base.

  • Huffman Coding10:14

    Learn how Huffman coding applies to image pixels for lossless compression by calculating frequencies and probabilities, building a Huffman tree, assigning codes, and evaluating entropy, average length, and efficiency.

  • Lossy Algorithms3:45

    Explore lossy compression for images and videos using jpeg and mpeg. Learn the jpeg pipeline: 8x8 blocks, ycbcr, dct, quantization, zigzag, and dc encoding; plus mpeg's mp4 and mp3 relevance.

Requirements

  • We suggest you to take our “Digital Image Processing: Operations and Application” course first.

Description

Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. Well, don't be overwhelmed by all those technical terms, we will help you with the fundamentals. So now are you interested to know about the field of Image Processing? Then this self-paced course is for you!

This course has been designed such that we can share our knowledge and help you learn complex theory, techniques and concepts in a simple way. It is a perfect match for all those self-taught students out there!

We will walk you into the World of Image Processing. With every tutorial you will develop new skills and improve your understanding of this field. While preparing this course special care is taken that the concepts are presented in fun and exciting way but at the same time, we dive deep into Image Processing. Using the strategies, lessons, and exercises in this course, you will learn all that is necessary to be a master in Image Processing. Here is a list of few of the topics we will be learning:

· What is Image Compression

· Lossless compression

· Lossy compression

· Lossy algorithms

· Lossless algorithms

· Blocks of Machine Learning

· Convolutional Neural Network

· Applications of Medical Image Processing

· Live project demonstration

Who this course is for:

  • Students who want to study the domain in less than 2 hrs.
  • Students, Researchers and faculty who are interested in learning Image Processing and its techniques
  • Technologists who are curious about how the images are handled and worked upon

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