Класифікація методів антиаліайзингу

Abstract

У роботі проведено аналіз існуючих методів антиаліайзингу зображень і запрпопоновано їх класифікацію

The purpose of this paper is to analyze the existing methods Anti-Aliasing and try the most common classification methods, including methods of Super-Sampling, Multy-Sempling and post-processing methods, which also relate to methods Anti-Aliasing. The basic principle of Anti-Aliasing - a " make low-contrast " sharp boundaries between colors in order to achieve the visual effect of a smooth transition between tones. Different requirements for tools Anti-Aliasing based on tasks performed by computer systems encourage manufacturers to develop graphical tools with different specifications and characteristics for maximum satisfaction of needs subject area. This creates a need to develop classification methods Anti-Aliasing to determine the optimal method and its adaptation to the tasks used.