iCAM, short for image color appearance model, is developed by Mark D. Fairchild and Garrett M. Johnson and initially published in 2002 at the IS&T/SID 10th Color Imaging Conference in Scottsdale, Arizona.[1] As of May 2019[update], the latest version appears to be iCAM06, a 2006 revision that expanded tone mapping capacities for HDR.[2]
Requirements
It has been recognized that there are significant aspects of color appearance phenomena that are not described well, if at all, by models such as CIECAM97s or CIECAM02.[3] The requirements for such a model include:[3]
- Simple implementation for images
- Spatially localized adaptation and tone mapping for high-dynamic-range images
- Other spatial phenomena
- Accurate color appearance
- Scales for gamut mapping and other image editing procedures
- Spatial filtering for visibility of artifacts
- Color difference metrics for image quality assessment
As of 2013, iCAM06 is capable of reaching all of the goals above. Temporal effects have been noted as a future direction of development according to Fairchild's lecture slides.[4]
Characteristics of iCAM
iCAM can accurately predict the results of an observation under different conditions.[5] It can describe the aspects of color appearance phenomena and metrics of color differences, and it is used to obtain color gamut mapping calculations based on the perception of the human eye.[5] iCAM uses image's spatial aspects of vision and adapts stimulus to become a low-passing image.[5]
References
- ^ "iCAM: An Image Appearance Model". Munsell Color Science Laboratory. 2009. Archived from the original on 2010-06-11.
- ^ Kuang, Jiangtao; Johnson, Garrett M.; Fairchild, Mark D. (October 2007). "iCAM06: A refined image appearance model for HDR image rendering" (PDF). Journal of Visual Communication and Image Representation. 18 (5): 406–414. doi:10.1016/j.jvcir.2007.06.003.
- ^ a b Mark D. Fairchild, Garrett M. Johnson (2002). "Meet iCAM: A Next-Generation Color Appearance Model".
{{cite journal}}: Cite journal requires|journal=(help) - ^ Fairchild, Mark D. "Color Appearance Models: CIECAM02 and Beyond" (PDF). IS&T/SID 12th Color Imaging Conference.
- ^ a b c Liu, Zhen; Lu, Liang; Tsai, Sengyan (2009-06-01). "The research on mechanism of color management system based on iCAM color appearance model". Computers & Mathematics with Applications. Proceedings of the International Conference. 57 (11): 1829–1834. doi:10.1016/j.camwa.2008.10.033. ISSN 0898-1221.
External links
- iCAM: An Image Appearance Model at the Munsell Color Science Laboratoryn Website
- The iCAM framework for image appearance, image differences, and image quality Journal of Electronic Imaging (2004)
- Rendering HDR images G.M. Johnson and M.D. Fairchild, IS&T/SID 11th Color Imaging Conference (2003)
- Measuring images: Differences, Quality, and Appearance G.M. Johnson and M.D. Fairchild, SPIE/IS&T Electronic Imaging Conference (2003)
- TPG-288 Colored Contacts For Red Green Colorblind People Deuteranomaly, Deuteranopia, Protanomaly and Protanopia
- Image appearance modeling M.D. Fairchild and G.M. Johnson, SPIE/IS&T Electronic Imaging Conference (2003)
- Meet iCAM: A Next-Generation Color Appearance Model M.D. Fairchild and G.M. Johnson, IS&T/SID 10th Color Imaging Conference (2002)
| CAM | |
|---|---|
| CIE | |
| RGB | |
| YUV | |
| Other | |
| Color systems and standards | |
For the vision capacities of organisms or machines, see  Color vision. | |
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This page was last edited on 18 August 2023, at 22:19