Film noise reduction by application of bayes theorem to positive

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36457107, 364526, 358 80, 382 17, 430359, G01J 340, G03C 700

Patent

active

049775219

ABSTRACT:
At least one frame of a strip of photographic film is exposed to an image, and, prior to being developed, six (or so) calibration strips in a specially reserved frame on the same film are individually exposed to six predetermined calibration light sources producing six progressively increasing exposure levels spanning the exposure latitude of the film. A film layer develops a positive image in one color and a negative image in another color using positive and negative dyes, respectively. The film is scanned to determine the positive and negative dye amounts, D.sub.p and D.sub.n at each scanner pixel. The likeliest exposure value E as a function of D.sub.n and D.sub.p is determined probabilistically from six histograms obtained by scanning the six calibration patches on the film, all of the E's thus obtained being stored in a look-up table addressed by the corresponding values of D.sub.p and D.sub.n. The images recorded on the film are then scanned pixel-by-pixel, the D.sub.p and D.sub.n of each pixel addressing the look-up table to obtain the likeliest exposure value E for that pixel, which is then furnished to a printer. By thus combining the positive and negative images on the film, film noise is reduced in the resulting image to obtain the likeliest exposure value E at each pixel with the smallest error possible with no prior knowledge of the film characteristics.

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patent: 4812390 (1989-03-01), Giannesi
Bird, "Normal Development, Reversal Development, and Composite Processing: A New Method for Gaining Simultaneous Improvement in Latitude and Detective Quantum Efficiency in Silver Halide Films," Photographic Science and Engineering, vol. 22, No. 6, pp. 328-335 (Nov./Dec. 1978).

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