Mike Perkins
Blog Post
Image Processing

Transforms for Video Compression, Part 3: The DCT and Why Transforming Is Valuable

The use of transforms in data compression algorithms is at least 40 years old. The goal of this three-part series of posts is to provide the mathematical background necessary for understanding transforms and to explain why they are a valuable part of many compression algorithms. I’m focusing on video since that’s my particular interest. Part... View Article
Mike Perkins
Blog Post
Image Processing

Transforms for Video Compression, Part 2: Matrix Representation and 2D Transforms

The use of transforms in data compression algorithms is at least 40 years old. The goal of this three-part series of posts is to provide the mathematical background necessary for understanding transforms and to explain why they are a valuable part of many compression algorithms. I’m focusing on video since that’s my particular interest. Part... View Article
Mike Perkins
Blog Post
Image Processing

Transforms for Video Compression, Part 1: Vectors, the Dot Product and Orthonormal Bases

Discover the power of transforms in video compression. Part 1 explains vectors, dot products, and orthonormal bases—essential for understanding advanced compression algorithms. Ready to transform your approach?
The use of transforms in data compression algorithms is at least 40 years old. The goal of this three-part series of posts is to provide the mathematical background necessary for understanding transforms and to explain why they are a valuable part of many compression algorithms. I’m focusing on video since that’s my particular interest. Part... View Article
The use of transforms in data compression algorithms is at least 40 years old. The goal of this three-part series of posts is to provide the mathematical background necessary for understanding transforms and to explain why they are a valuable part of many compression algorithms. I’m focusing on video since that’s my particular interest. Part... View Article
Discover the power of transforms in video compression. Part 1 explains vectors, dot products, and orthonormal bases—essential for understanding advanced compression algorithms. Ready to transform your approach?