作者: John P. Spence
DOI:
关键词: Contone 、 Dot gain 、 Benchmark (computing) 、 Artificial intelligence 、 Process (computing) 、 Table (database) 、 Engineering 、 Raster image processor 、 Tone reproduction 、 Computer vision 、 Sensitivity (electronics)
摘要: Apparatus and associated methods employed therewith for accurately providing a desired ("Aim") tone reproduction characteristic in an output image through DDCP (direct digital color proofing) imaging chain (such as that implemented by raster processor (200), particularly screening process (660) occurring therein, marking engine (130)) significantly reducing the number of test proof images need to be produced measured achieve this result. Specifically, "Benchmark" operating conditions intrinsic performance (i.e. entry point data) thereat are first defined. Then, based upon differences screen ruling solid area density) between condition appropriate condition, values with latter adapted, use pre-defined model sensitivity coefficients collectively predict chain, determine corresponding "Adapted" specify at condition. Thereafter, response both "Aim" (400) look-up table is fabricated contain, all possible input dot areas, gain modified inverse expected applied characteristic. Incoming contone values) separation then routed table, prior writing, order intentionally vary value each such so resulting dots will accuratel exhibit substantially free from corruption due native chain.