Dither: Dither: Visual Noise in Computer Vision
About this ebook
Dither is an intentionally applied form of noise used to randomize quantization error, preventing large-scale patterns such as color banding in images. Dither is routinely used in processing of both digital audio and video data, and is often one of the last stages of mastering audio to a CD.
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Dither
Chapter 2: Analog-to-digital converter
Chapter 3: Dynamic range
Chapter 4: Signal-to-noise ratio
Chapter 5: Halftone
Chapter 6: Comparison of analog and digital recording
Chapter 7: Compression artifact
Chapter 8: Sampling (signal processing)
Chapter 9: Quantization (signal processing)
Chapter 10: Grayscale
(II) Answering the public top questions about dither.
(III) Real world examples for the usage of dither in many fields.
Who this book is for
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Dither.
