05-16-2026, 07:16 PM
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Digital Image Processing And Compression
Last updated 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 53m | Size: 472.81 MB[/center]
Technologies and Applications
What you'll learn
Learn the applications of digital image representation, recognition, and compression
Study image enhancement techniques such as equalization, level adjustment, contrast, and edge detection
Explain the operation of lowpass, median, and edge detection filters
Understand the use of the discrete cosine transform (DCT) in image compression
Review the essential components of the JPEG standard and JPEG AI
Requirements
Some knowledge of signals and systems
No programming experience needed.
Description
Digital image processing (DIP) has become indispensable in many disciplines, including electronics, computer, communications, and biomedical engineering. DIP forms the workhorse of media processing systems, allowing the streaming and storage of high-quality video. Following an introduction to DIP, participants will learn how digital images can be represented, recognized, and converted to various formats (RGB , grayscale, YUV) for efficient processing. The key image enhancement techniques will then be explained, including equalization, level adjustment, and contrast, as well as the use of lowpass, median, edge detection, and color filters. The discrete cosine transform (DCT) is widely used in image compression. The third section of the course discusses the DCT and compares its performance with the discrete Fourier transform (DFT). The final section of the course focuses on JPEG color image compression, JPEG AI, and MPEG motion video compression. It will briefly discuss the optimization between coded bit rate and image distortion, the role of deep learning, and the Adam algorithm. References for further reading and color JPEG compression code are also provided. This concise course is geared toward anyone who is interested in the fundamental techniques used in the rapidly expanding field of DIP. Using over 80 illustrative slides, a practical understanding is developed through many numeric design examples and demonstrations. It also contains a short quiz.
About the Instructor
The instructor has developed 6 U.S. video patents that were licensed to industry and received the National Association of Broadcasters Technology Innovation Award for demonstrations of advanced media technologies. He has conducted many custom video courses for Comcast/NBC, Qualcomm, Motorola, universities, and the IEEE, and has served as an expert witness on cable TV and video streaming. More recently, two of his video books were adopted by the AI company Anthropic as training material.
Who this course is for
The course is beneficial for anyone who is interested in the rapidly expanding field of digital image processing
Digital Image Processing And Compression
Last updated 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 53m | Size: 472.81 MB[/center]
Technologies and Applications
What you'll learn
Learn the applications of digital image representation, recognition, and compression
Study image enhancement techniques such as equalization, level adjustment, contrast, and edge detection
Explain the operation of lowpass, median, and edge detection filters
Understand the use of the discrete cosine transform (DCT) in image compression
Review the essential components of the JPEG standard and JPEG AI
Requirements
Some knowledge of signals and systems
No programming experience needed.
Description
Digital image processing (DIP) has become indispensable in many disciplines, including electronics, computer, communications, and biomedical engineering. DIP forms the workhorse of media processing systems, allowing the streaming and storage of high-quality video. Following an introduction to DIP, participants will learn how digital images can be represented, recognized, and converted to various formats (RGB , grayscale, YUV) for efficient processing. The key image enhancement techniques will then be explained, including equalization, level adjustment, and contrast, as well as the use of lowpass, median, edge detection, and color filters. The discrete cosine transform (DCT) is widely used in image compression. The third section of the course discusses the DCT and compares its performance with the discrete Fourier transform (DFT). The final section of the course focuses on JPEG color image compression, JPEG AI, and MPEG motion video compression. It will briefly discuss the optimization between coded bit rate and image distortion, the role of deep learning, and the Adam algorithm. References for further reading and color JPEG compression code are also provided. This concise course is geared toward anyone who is interested in the fundamental techniques used in the rapidly expanding field of DIP. Using over 80 illustrative slides, a practical understanding is developed through many numeric design examples and demonstrations. It also contains a short quiz.
About the Instructor
The instructor has developed 6 U.S. video patents that were licensed to industry and received the National Association of Broadcasters Technology Innovation Award for demonstrations of advanced media technologies. He has conducted many custom video courses for Comcast/NBC, Qualcomm, Motorola, universities, and the IEEE, and has served as an expert witness on cable TV and video streaming. More recently, two of his video books were adopted by the AI company Anthropic as training material.
Who this course is for
The course is beneficial for anyone who is interested in the rapidly expanding field of digital image processing
Code:
https://rapidgator.net/file/06a6d0f66e3c2e44124e5694a3a0929f/Digital_Image_Processing_and_Compression.rar.html
https://nitroflare.com/view/E2AD154DD5FEBA1/Digital_Image_Processing_and_Compression.rar