Anti Aliasing: Enhancing Visual Clarity in Computer Vision
Par šo e-grāmatu
Anti-aliasing may refer to any of a number of techniques to combat the problems of aliasing in a sampled signal such as a digital image or digital audio recording
How you will benefit
(I) Insights, and validations about the following topics:
Chapter 1: Anti-aliasing
Chapter 2: Spatial anti-aliasing
Chapter 3: Mipmap
Chapter 4: Subpixel rendering
Chapter 5: Texture filtering
Chapter 6: Supersampling
Chapter 7: Multisample anti-aliasing
Chapter 8: Morphological antialiasing
Chapter 9: Fast approximate anti-aliasing
Chapter 10: Deep learning super sampling
(II) Answering the public top questions about anti aliasing.
(III) Real world examples for the usage of anti aliasing 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 Anti Aliasing.
