PROBLEM: Conventional decoding techniques tend to operate exclusively in the space domain and often rely on code-specific “finder features,” ECC, high-resolution imaging, image resampling (a “lossy” process), encoded data “clues” and low code density relative to image resolution (see EASY examples below). This limits the amount of information that can be reliably encoded into a given area. RESEARCH OBJECTIVES: Recover randomly-oriented 2D bit fields without resampling, without reliance on finder features, and without dependency on encoding or data content. Decode at image densities that produce aliasing of primary grid frequencies – alias disambiguation (see HARD example below). Provide linear code density improvement of 1.5:1 to 2:1 over conventional techniques, resulting in an increase in data density per unit area of 2.25:1 to 4:1
