Computer Vision Foundations · free preview
Analysis and Synthesis
Every image transform is a pair of matrices, one that projects the image onto templates and one that rebuilds the image from coefficients.
1. The last lesson and a new frame
The last lesson and a new frame
2. Three sampling regimes
Three sampling regimes
3. Self-inverting transforms
Self-inverting transforms
4. A map of what follows
A map of what follows
5. Which regime
A transform analyzes a 256-pixel image into 1024 coefficients using templates stacked in a tall matrix . The analysis is complete, meaning suitable coefficient vectors can rebuild any image. Which statement is correct?
6. Self-inverting round trip
A self-inverting transform satisfies . An image goes through analysis and then synthesis with . What is the reconstructed image, and what does equal in general?
7. Round trip error
A self-inverting transform has . An image is analyzed to coefficients and synthesized back with . Compute the squared reconstruction error and write it as a number.
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