
This paper surveys current technology and research in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along with the common mathematical models used for representing these devices. Algorithms for processing color images for display and communication are surveyed, and a forecast of research trends is attempted. An extensive bibliography is provided.
FOS: Computer and information sciences, A.1;I.4,I.3.3,I.2.10;I.3.7;B.4.2, I.4,I.3.3,I.2.10, Computer Vision and Pattern Recognition (cs.CV), I.3.7, B.4.2, Computer Science - Computer Vision and Pattern Recognition, Graphics (cs.GR), Computer Science - Graphics, A.1
FOS: Computer and information sciences, A.1;I.4,I.3.3,I.2.10;I.3.7;B.4.2, I.4,I.3.3,I.2.10, Computer Vision and Pattern Recognition (cs.CV), I.3.7, B.4.2, Computer Science - Computer Vision and Pattern Recognition, Graphics (cs.GR), Computer Science - Graphics, A.1
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 297 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 0.1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
