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1
Introducing JPEG and RGB Representation
2
Lossy Compression
3
What information can we get rid of?
4
Introducing YCbCr
5
Chroma subsampling/downsampling
6
Images represented as signals
7
Introducing the Discrete Cosine Transform DCT
8
Sampling cosine waves
9
Playing around with the DCT
10
Mathematically defining the DCT
11
The Inverse DCT
12
The 2D DCT
13
Visualizing the 2D DCT
14
Introducing Energy Compaction
15
Brilliant Sponsorship
16
Building an image from the 2D DCT
17
Quantization
18
Run-length/Huffman Encoding within JPEG
19
How JPEG fits into the big picture of data compression
Description:
Explore the intricacies of JPEG compression in this 35-minute video that delves into the core components of the algorithm. Learn about color spaces, YCbCr, chroma subsampling, the discrete cosine transform, quantization, and lossless encoding. Focus on the mathematical and signal processing insights that have led to advancements in image compression, and gain a deeper understanding of the broader themes in data compression. Discover how images are represented as signals, experiment with the DCT, and visualize the 2D DCT. Examine the concept of energy compaction and its role in image compression. Gain practical knowledge on building an image from the 2D DCT, quantization techniques, and run-length/Huffman encoding within JPEG. Conclude by understanding how JPEG fits into the larger picture of data compression, providing a comprehensive overview of this widely-used image format.

The Unreasonable Effectiveness of JPEG: A Signal Processing Approach

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