Abstract | ||
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One source of high quality digital image data is scanned photographic negatives, which can be processed to produce high quality color images. The scanned data must be inverted and processed to adjust for the film and scene characteristics. This paper proposes an approach to processing scanned negatives with unknown film type to produce output color images suitable for viewing on a computer monitor or for printing.Our processing pipeline contains an adaptive stage that automatically adjusts the white and black point according to the image characteristics. Other stages invert the scanned data and adjust the midtone values. Finally, a postprocessing stage is used to detect dark and backlit scenes, which are then brightened. The pipeline has been tested on several hundred scanned negatives using two different film scanners. |
Year | Venue | Field |
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1998 | IMAGE PROCESSING IMAGE QUALITY IMAGE CAPTURE SYSTEMS CONFERENCE | Computer vision,Computer monitor,Computer graphics (images),Computer science,Image processing,Backlight,Digital image,Negative,Artificial intelligence |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qian Lin | 1 | 88 | 10.97 |
Daniel Tretter | 2 | 141 | 12.85 |