A novel method for color correction in epiluminescence microscopy
Abstract This paper proposes a new color correction pipeline to improve the dermoscopy image quality. Images acquired with different cameras or different dermoscopes often present problems of faithful color reproduction. The colors of these images are often far different the ones observed with the n...
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Veröffentlicht in: | Computerized medical imaging and graphics 2011-10, Vol.35 (7), p.646-652 |
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description | Abstract This paper proposes a new color correction pipeline to improve the dermoscopy image quality. Images acquired with different cameras or different dermoscopes often present problems of faithful color reproduction. The colors of these images are often far different the ones observed with the naked eye, and usually vary from one camera to another. Nowadays digital cameras perform “black-box” color corrections taking into account the color temperature of the imaged scene, which may result in some cases in unrealistic color rendering. For this reason, it is necessary to calibrate the imaging system (the camera and a specific dermoscope). The calibration process requires finding a relationship between a device-dependent color space and a standard color space depending only on the human eye. This relation is obtained acquiring known color patches of a color checker and relating them with the pixel values obtained by the camera. In our approach we model the color calibration problem using a new formulation that takes into account the spectral distribution of the dermoscope lighting system and conveys a solution for both RAW and JPEG images. When comparing images captured with different cameras, this new method improves the results between 0.1 and 0.9 Δ E with respect to previous approaches. |
doi_str_mv | 10.1016/j.compmedimag.2011.03.006 |
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Images acquired with different cameras or different dermoscopes often present problems of faithful color reproduction. The colors of these images are often far different the ones observed with the naked eye, and usually vary from one camera to another. Nowadays digital cameras perform “black-box” color corrections taking into account the color temperature of the imaged scene, which may result in some cases in unrealistic color rendering. For this reason, it is necessary to calibrate the imaging system (the camera and a specific dermoscope). The calibration process requires finding a relationship between a device-dependent color space and a standard color space depending only on the human eye. This relation is obtained acquiring known color patches of a color checker and relating them with the pixel values obtained by the camera. In our approach we model the color calibration problem using a new formulation that takes into account the spectral distribution of the dermoscope lighting system and conveys a solution for both RAW and JPEG images. When comparing images captured with different cameras, this new method improves the results between 0.1 and 0.9 Δ E with respect to previous approaches.</description><identifier>ISSN: 0895-6111</identifier><identifier>EISSN: 1879-0771</identifier><identifier>DOI: 10.1016/j.compmedimag.2011.03.006</identifier><identifier>PMID: 21531539</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Algorithms ; Calibration ; Cameras ; Color ; Color calibration ; Color imaging ; Color temperature ; Colorimetry ; Colorimetry - standards ; Dermatology ; Dermoscopy ; Epiluminescence microscopy ; Humans ; Image Interpretation, Computer-Assisted ; Internal Medicine ; Lighting ; Mathematical models ; Models, Theoretical ; Other ; Reproduction ; Skin Neoplasms - diagnosis</subject><ispartof>Computerized medical imaging and graphics, 2011-10, Vol.35 (7), p.646-652</ispartof><rights>Elsevier Ltd</rights><rights>2011 Elsevier Ltd</rights><rights>Copyright © 2011 Elsevier Ltd. 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Images acquired with different cameras or different dermoscopes often present problems of faithful color reproduction. The colors of these images are often far different the ones observed with the naked eye, and usually vary from one camera to another. Nowadays digital cameras perform “black-box” color corrections taking into account the color temperature of the imaged scene, which may result in some cases in unrealistic color rendering. For this reason, it is necessary to calibrate the imaging system (the camera and a specific dermoscope). The calibration process requires finding a relationship between a device-dependent color space and a standard color space depending only on the human eye. This relation is obtained acquiring known color patches of a color checker and relating them with the pixel values obtained by the camera. In our approach we model the color calibration problem using a new formulation that takes into account the spectral distribution of the dermoscope lighting system and conveys a solution for both RAW and JPEG images. When comparing images captured with different cameras, this new method improves the results between 0.1 and 0.9 Δ E with respect to previous approaches.</description><subject>Algorithms</subject><subject>Calibration</subject><subject>Cameras</subject><subject>Color</subject><subject>Color calibration</subject><subject>Color imaging</subject><subject>Color temperature</subject><subject>Colorimetry</subject><subject>Colorimetry - standards</subject><subject>Dermatology</subject><subject>Dermoscopy</subject><subject>Epiluminescence microscopy</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>Internal Medicine</subject><subject>Lighting</subject><subject>Mathematical models</subject><subject>Models, Theoretical</subject><subject>Other</subject><subject>Reproduction</subject><subject>Skin Neoplasms - diagnosis</subject><issn>0895-6111</issn><issn>1879-0771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkUtr3DAQgEVJaLZp_0JwTjnZnZEteXUpLEv6gEAPSc7ClsaNtrblSuvA_vvK3SSUXlIQ0kHfvL5h7BKhQED5cVcYP0wDWTc0PwoOiAWUBYB8w1a4rlUOdY0nbAVrJXKJiGfsXYw7AOBQ41t2xlGU6agV22yy0T9Snw20f_A263zIjO__3CGQ2Ts_Zm7MaHL9PLiRoqHRUDY4E3w0fjq8Z6dd00f68PSes_vP13fbr_nN9y_ftpub3FSy3OeiK9fQWNnITpWmtQKaRgolhVEV2ZZDqzoQXNQkrU1YWyNwVBKhSoNBV56zq2PeKfhfM8W9Hlxqpu-bkfwctUKoFReVepVcJ0UVryuRSHUkl2FioE5PITkNB42gF9V6p_9SrRfVGkqdOkqxF09V5jb9v0Q-u03A9ghQsvLoKOho3CLPukWstt79V5lP_2QxvRudafqfdKC483MYk3aNOnIN-nbZ-bJyRFjCefkbJ82pzQ</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Quintana, Josep</creator><creator>Garcia, Rafael</creator><creator>Neumann, László</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20111001</creationdate><title>A novel method for color correction in epiluminescence microscopy</title><author>Quintana, Josep ; Garcia, Rafael ; Neumann, László</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c463t-5f380ad6a6f93cbd50aa65965c94edb20b9f05257e6ddd6ab71021961040060f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithms</topic><topic>Calibration</topic><topic>Cameras</topic><topic>Color</topic><topic>Color calibration</topic><topic>Color imaging</topic><topic>Color temperature</topic><topic>Colorimetry</topic><topic>Colorimetry - standards</topic><topic>Dermatology</topic><topic>Dermoscopy</topic><topic>Epiluminescence microscopy</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>Internal Medicine</topic><topic>Lighting</topic><topic>Mathematical models</topic><topic>Models, Theoretical</topic><topic>Other</topic><topic>Reproduction</topic><topic>Skin Neoplasms - diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Quintana, Josep</creatorcontrib><creatorcontrib>Garcia, Rafael</creatorcontrib><creatorcontrib>Neumann, László</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computerized medical imaging and graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Quintana, Josep</au><au>Garcia, Rafael</au><au>Neumann, László</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel method for color correction in epiluminescence microscopy</atitle><jtitle>Computerized medical imaging and graphics</jtitle><addtitle>Comput Med Imaging Graph</addtitle><date>2011-10-01</date><risdate>2011</risdate><volume>35</volume><issue>7</issue><spage>646</spage><epage>652</epage><pages>646-652</pages><issn>0895-6111</issn><eissn>1879-0771</eissn><abstract>Abstract This paper proposes a new color correction pipeline to improve the dermoscopy image quality. Images acquired with different cameras or different dermoscopes often present problems of faithful color reproduction. The colors of these images are often far different the ones observed with the naked eye, and usually vary from one camera to another. Nowadays digital cameras perform “black-box” color corrections taking into account the color temperature of the imaged scene, which may result in some cases in unrealistic color rendering. For this reason, it is necessary to calibrate the imaging system (the camera and a specific dermoscope). The calibration process requires finding a relationship between a device-dependent color space and a standard color space depending only on the human eye. This relation is obtained acquiring known color patches of a color checker and relating them with the pixel values obtained by the camera. In our approach we model the color calibration problem using a new formulation that takes into account the spectral distribution of the dermoscope lighting system and conveys a solution for both RAW and JPEG images. When comparing images captured with different cameras, this new method improves the results between 0.1 and 0.9 Δ E with respect to previous approaches.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>21531539</pmid><doi>10.1016/j.compmedimag.2011.03.006</doi><tpages>7</tpages></addata></record> |
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subjects | Algorithms Calibration Cameras Color Color calibration Color imaging Color temperature Colorimetry Colorimetry - standards Dermatology Dermoscopy Epiluminescence microscopy Humans Image Interpretation, Computer-Assisted Internal Medicine Lighting Mathematical models Models, Theoretical Other Reproduction Skin Neoplasms - diagnosis |
title | A novel method for color correction in epiluminescence microscopy |
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