This course explores how bits are combined to represent digital media like photographs, music, and video.
Reducing the number of bits per pixel by reducing the number of color and using a color lookup table (CLUT)
Analog audio technology. Lossy compression:Quantization, Sub-sampling. Relative encoding (a.ka. differential coding)
Analog audio technology. Lossy compression:Quantization, Sub-sampling. Relative encoding (a.ka. differential coding)
In this class we look at how a black and white image could be stored digitally
Quick summary of Dynamic Huffman Coding. Example of Arithmetic Coding
We looked at some real life character frequencies and did a small Huffman example by hand
Welcome. COMP6021 Module details. Using bits to represent things. Text coding. ASCII.
Computers store data with just bits. How can bits be made to represent text?