Rethinking color cameras
Digital color cameras make sub-sampled measurements of color at alternating pixel locations, and then “demosaick” these measurements to create full color images by up-sampling. This allows traditional cameras with restricted processing hardware to produce color images from a single shot, but it requ...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/100404 https://orcid.org/0000-0002-2231-7995 |
| _version_ | 1826212266675011584 |
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| author | Chakrabarti, Ayan Freeman, William T. Zickler, Todd |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Chakrabarti, Ayan Freeman, William T. Zickler, Todd |
| author_sort | Chakrabarti, Ayan |
| collection | MIT |
| description | Digital color cameras make sub-sampled measurements of color at alternating pixel locations, and then “demosaick” these measurements to create full color images by up-sampling. This allows traditional cameras with restricted processing hardware to produce color images from a single shot, but it requires blocking a majority of the incident light and is prone to aliasing artifacts. In this paper, we introduce a computational approach to color photography, where the sampling pattern and reconstruction process are co-designed to enhance sharpness and photographic speed. The pattern is made predominantly panchromatic, thus avoiding excessive loss of light and aliasing of high spatial-frequency intensity variations. Color is sampled at a very sparse set of locations and then propagated throughout the image with guidance from the un-aliased luminance channel. Experimental results show that this approach often leads to significant reductions in noise and aliasing artifacts, especially in low-light conditions. |
| first_indexed | 2024-09-23T15:18:40Z |
| format | Article |
| id | mit-1721.1/100404 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:18:40Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1004042022-10-02T02:06:29Z Rethinking color cameras Chakrabarti, Ayan Freeman, William T. Zickler, Todd Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Freeman, William T. Digital color cameras make sub-sampled measurements of color at alternating pixel locations, and then “demosaick” these measurements to create full color images by up-sampling. This allows traditional cameras with restricted processing hardware to produce color images from a single shot, but it requires blocking a majority of the incident light and is prone to aliasing artifacts. In this paper, we introduce a computational approach to color photography, where the sampling pattern and reconstruction process are co-designed to enhance sharpness and photographic speed. The pattern is made predominantly panchromatic, thus avoiding excessive loss of light and aliasing of high spatial-frequency intensity variations. Color is sampled at a very sparse set of locations and then propagated throughout the image with guidance from the un-aliased luminance channel. Experimental results show that this approach often leads to significant reductions in noise and aliasing artifacts, especially in low-light conditions. National Science Foundation (U.S.) (Grant IIS-0926148) National Science Foundation (U.S.) (Grant IIS-1212849) National Science Foundation (U.S.) (Grant IIS-1212928) 2015-12-17T01:20:14Z 2015-12-17T01:20:14Z 2014-05 Article http://purl.org/eprint/type/ConferencePaper 978-1-4799-5188-8 http://hdl.handle.net/1721.1/100404 Chakrabarti, Ayan, William T. Freeman, and Todd Zickler. “Rethinking Color Cameras.” 2014 IEEE International Conference on Computational Photography (ICCP) (May 2014). https://orcid.org/0000-0002-2231-7995 en_US http://dx.doi.org/10.1109/ICCPHOT.2014.6831801 Proceedings of the 2014 IEEE International Conference on Computational Photography (ICCP) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Chakrabarti, Ayan Freeman, William T. Zickler, Todd Rethinking color cameras |
| title | Rethinking color cameras |
| title_full | Rethinking color cameras |
| title_fullStr | Rethinking color cameras |
| title_full_unstemmed | Rethinking color cameras |
| title_short | Rethinking color cameras |
| title_sort | rethinking color cameras |
| url | http://hdl.handle.net/1721.1/100404 https://orcid.org/0000-0002-2231-7995 |
| work_keys_str_mv | AT chakrabartiayan rethinkingcolorcameras AT freemanwilliamt rethinkingcolorcameras AT zicklertodd rethinkingcolorcameras |