- Colloquium
- “Quantum Messages and Quantum Games”
- Classical computer representation of information is as macroscopic on/off signals
- Quantum representation can superpose different values in a single signal
- Monday, April 13, 4:00-4:50pm
- Newton 201
- Tom Cooney
- Department of Mathematics
- Louisiana State University
- Faculty candidate!
- Extra credit for summaries
- “Quantum Messages and Quantum Games”
- Section 13.2
- Images as stacks of 3 matrices (red, green, blue)
- Reshape to make grids of colors
- Colormaps
- Some preprogrammed into Matlab
- Can change colors based on mappings
- Colormaps vs true color
- Different image file formats differ in how they compress images
- e.g., GIF = color map
- JPEG = spatial frequency
- etc.
- “Introduction to Digital Images”
- Array of pixels
- Color per pixel is red, green, blue combination
- Also grayscale (black and white)
- Can convert between color schemes based on intensities
- Size determined by product of width, height, bits/pixel
- Quantization and discretization? Aliasing?
- Compression
- Lossless preserves information
- Lossy loses small amounts of information
- Chroma key algorithm
loop for each source pixel if R,G,B intensities in range for “green” screen copy background image pixel to output else copy source pixel to output
- Finish algorithm
- Start coding it