Color images in telepathology: How many colors do we need?

It is generally assumed that for telepathology, accurate depiction of microscopic images requires the use of “true color” (ie, 24 bits, eight bits each for red, green, and blue) in the digitized image used for transmission. If such a 24-bit color image file, which provides a palette of 16.7 million...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Human pathology 1997, Vol.28 (1), p.36-41
Hauptverfasser: Doolittle, Marc H, Doolittle, Keith W, Winkelman, Zev, Weinberg, David S
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 41
container_issue 1
container_start_page 36
container_title Human pathology
container_volume 28
creator Doolittle, Marc H
Doolittle, Keith W
Winkelman, Zev
Weinberg, David S
description It is generally assumed that for telepathology, accurate depiction of microscopic images requires the use of “true color” (ie, 24 bits, eight bits each for red, green, and blue) in the digitized image used for transmission. If such a 24-bit color image file, which provides a palette of 16.7 million colors, could be reduced in size by decreasing the possible numbers of colors displayed in the image to 8 bits (palette of 256 colors), the image files would require less storage space, could be transmitted more rapidly, and would require less telecommunications bandwidth. However, such color reduction must not result in detectable image degradation, especially if the images are to be used for diagnosis. Therefore, we performed a carefully controlled study to determine whether pathologists could detect differences in the quality of microscopic images that were reduced from 24 to 8 bits of color. Thirty pathologists were each asked to view a set of 30 image pairs displayed on a computer monitor. Each image pair consisted of the original 24-bit color version and an 8-bit color-reduced version, derived using an adaptive color reduction algorithm with diffusion dithering. Observers were asked whether they could detect any difference in quality between the image pairs. Then, regardless of their answer, they were asked to choose the better quality image of the pair. Overall, there was not a statistically significant ability to consciously detect differences between the image pairs ( P < .750). However, when forced to choose, there was a significant preference for the 8-bit images as being of “better quality” ( P < .005). We conclude that telepathology applications may be able to take advantage of adaptive color reduction algorithms to reduce image file size without sacrificing image quality. Additional studies must be performed to determine the minimal image requirements for accurate diagnosis by telepatholgy.
doi_str_mv 10.1016/S0046-8177(97)90276-8
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_78806735</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0046817797902768</els_id><sourcerecordid>78806735</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-dc7379433ae63b7d42b7f96b29e51871bd793b7a4a96449844d1c310e5d2b5fb3</originalsourceid><addsrcrecordid>eNqFkFFLwzAQx4Moc04_wiBPog_VpEmbZC9Dhjph4IP6HNrkOitdM5POsW9v6sZehYPj_ve_O-6H0JiSO0pofv9GCM8TSYW4UeJWkVTE6gQNacbSRDKVnqLh0XKOLkL4IoTSjGcDNFCEMpmqIZrMXOM8rlfFEgKuW9xBA-ui-4zycjfBc7fFq6LdYdP7ArYObwG3AHZ6ic6qoglwdcgj9PH0-D6bJ4vX55fZwyIxLCddYo1gQnHGCshZKSxPS1GpvEwVZFQKWlqhol7wQuWcK8m5pYZRAplNy6wq2Qhd7_euvfveQOj0qg4GmqZowW2CFlKSXLAsGrO90XgXgodKr318zO80Jbpnpv-Y6R6IVjF6ZlrGufHhwKZcgT1OHSDF_nTfh_jlTw1eB1NDa8DWHkynrav_ufALuVl6DQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>78806735</pqid></control><display><type>article</type><title>Color images in telepathology: How many colors do we need?</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Doolittle, Marc H ; Doolittle, Keith W ; Winkelman, Zev ; Weinberg, David S</creator><creatorcontrib>Doolittle, Marc H ; Doolittle, Keith W ; Winkelman, Zev ; Weinberg, David S</creatorcontrib><description>It is generally assumed that for telepathology, accurate depiction of microscopic images requires the use of “true color” (ie, 24 bits, eight bits each for red, green, and blue) in the digitized image used for transmission. If such a 24-bit color image file, which provides a palette of 16.7 million colors, could be reduced in size by decreasing the possible numbers of colors displayed in the image to 8 bits (palette of 256 colors), the image files would require less storage space, could be transmitted more rapidly, and would require less telecommunications bandwidth. However, such color reduction must not result in detectable image degradation, especially if the images are to be used for diagnosis. Therefore, we performed a carefully controlled study to determine whether pathologists could detect differences in the quality of microscopic images that were reduced from 24 to 8 bits of color. Thirty pathologists were each asked to view a set of 30 image pairs displayed on a computer monitor. Each image pair consisted of the original 24-bit color version and an 8-bit color-reduced version, derived using an adaptive color reduction algorithm with diffusion dithering. Observers were asked whether they could detect any difference in quality between the image pairs. Then, regardless of their answer, they were asked to choose the better quality image of the pair. Overall, there was not a statistically significant ability to consciously detect differences between the image pairs ( P &lt; .750). However, when forced to choose, there was a significant preference for the 8-bit images as being of “better quality” ( P &lt; .005). We conclude that telepathology applications may be able to take advantage of adaptive color reduction algorithms to reduce image file size without sacrificing image quality. Additional studies must be performed to determine the minimal image requirements for accurate diagnosis by telepatholgy.</description><identifier>ISSN: 0046-8177</identifier><identifier>EISSN: 1532-8392</identifier><identifier>DOI: 10.1016/S0046-8177(97)90276-8</identifier><identifier>PMID: 9013829</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Color ; digital imaging ; telemedicine ; telepathology ; Telepathology - methods</subject><ispartof>Human pathology, 1997, Vol.28 (1), p.36-41</ispartof><rights>1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-dc7379433ae63b7d42b7f96b29e51871bd793b7a4a96449844d1c310e5d2b5fb3</citedby><cites>FETCH-LOGICAL-c360t-dc7379433ae63b7d42b7f96b29e51871bd793b7a4a96449844d1c310e5d2b5fb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0046817797902768$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9013829$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Doolittle, Marc H</creatorcontrib><creatorcontrib>Doolittle, Keith W</creatorcontrib><creatorcontrib>Winkelman, Zev</creatorcontrib><creatorcontrib>Weinberg, David S</creatorcontrib><title>Color images in telepathology: How many colors do we need?</title><title>Human pathology</title><addtitle>Hum Pathol</addtitle><description>It is generally assumed that for telepathology, accurate depiction of microscopic images requires the use of “true color” (ie, 24 bits, eight bits each for red, green, and blue) in the digitized image used for transmission. If such a 24-bit color image file, which provides a palette of 16.7 million colors, could be reduced in size by decreasing the possible numbers of colors displayed in the image to 8 bits (palette of 256 colors), the image files would require less storage space, could be transmitted more rapidly, and would require less telecommunications bandwidth. However, such color reduction must not result in detectable image degradation, especially if the images are to be used for diagnosis. Therefore, we performed a carefully controlled study to determine whether pathologists could detect differences in the quality of microscopic images that were reduced from 24 to 8 bits of color. Thirty pathologists were each asked to view a set of 30 image pairs displayed on a computer monitor. Each image pair consisted of the original 24-bit color version and an 8-bit color-reduced version, derived using an adaptive color reduction algorithm with diffusion dithering. Observers were asked whether they could detect any difference in quality between the image pairs. Then, regardless of their answer, they were asked to choose the better quality image of the pair. Overall, there was not a statistically significant ability to consciously detect differences between the image pairs ( P &lt; .750). However, when forced to choose, there was a significant preference for the 8-bit images as being of “better quality” ( P &lt; .005). We conclude that telepathology applications may be able to take advantage of adaptive color reduction algorithms to reduce image file size without sacrificing image quality. Additional studies must be performed to determine the minimal image requirements for accurate diagnosis by telepatholgy.</description><subject>Color</subject><subject>digital imaging</subject><subject>telemedicine</subject><subject>telepathology</subject><subject>Telepathology - methods</subject><issn>0046-8177</issn><issn>1532-8392</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkFFLwzAQx4Moc04_wiBPog_VpEmbZC9Dhjph4IP6HNrkOitdM5POsW9v6sZehYPj_ve_O-6H0JiSO0pofv9GCM8TSYW4UeJWkVTE6gQNacbSRDKVnqLh0XKOLkL4IoTSjGcDNFCEMpmqIZrMXOM8rlfFEgKuW9xBA-ui-4zycjfBc7fFq6LdYdP7ArYObwG3AHZ6ic6qoglwdcgj9PH0-D6bJ4vX55fZwyIxLCddYo1gQnHGCshZKSxPS1GpvEwVZFQKWlqhol7wQuWcK8m5pYZRAplNy6wq2Qhd7_euvfveQOj0qg4GmqZowW2CFlKSXLAsGrO90XgXgodKr318zO80Jbpnpv-Y6R6IVjF6ZlrGufHhwKZcgT1OHSDF_nTfh_jlTw1eB1NDa8DWHkynrav_ufALuVl6DQ</recordid><startdate>1997</startdate><enddate>1997</enddate><creator>Doolittle, Marc H</creator><creator>Doolittle, Keith W</creator><creator>Winkelman, Zev</creator><creator>Weinberg, David S</creator><general>Elsevier Inc</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></search><sort><creationdate>1997</creationdate><title>Color images in telepathology: How many colors do we need?</title><author>Doolittle, Marc H ; Doolittle, Keith W ; Winkelman, Zev ; Weinberg, David S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-dc7379433ae63b7d42b7f96b29e51871bd793b7a4a96449844d1c310e5d2b5fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Color</topic><topic>digital imaging</topic><topic>telemedicine</topic><topic>telepathology</topic><topic>Telepathology - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Doolittle, Marc H</creatorcontrib><creatorcontrib>Doolittle, Keith W</creatorcontrib><creatorcontrib>Winkelman, Zev</creatorcontrib><creatorcontrib>Weinberg, David S</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><jtitle>Human pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Doolittle, Marc H</au><au>Doolittle, Keith W</au><au>Winkelman, Zev</au><au>Weinberg, David S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Color images in telepathology: How many colors do we need?</atitle><jtitle>Human pathology</jtitle><addtitle>Hum Pathol</addtitle><date>1997</date><risdate>1997</risdate><volume>28</volume><issue>1</issue><spage>36</spage><epage>41</epage><pages>36-41</pages><issn>0046-8177</issn><eissn>1532-8392</eissn><abstract>It is generally assumed that for telepathology, accurate depiction of microscopic images requires the use of “true color” (ie, 24 bits, eight bits each for red, green, and blue) in the digitized image used for transmission. If such a 24-bit color image file, which provides a palette of 16.7 million colors, could be reduced in size by decreasing the possible numbers of colors displayed in the image to 8 bits (palette of 256 colors), the image files would require less storage space, could be transmitted more rapidly, and would require less telecommunications bandwidth. However, such color reduction must not result in detectable image degradation, especially if the images are to be used for diagnosis. Therefore, we performed a carefully controlled study to determine whether pathologists could detect differences in the quality of microscopic images that were reduced from 24 to 8 bits of color. Thirty pathologists were each asked to view a set of 30 image pairs displayed on a computer monitor. Each image pair consisted of the original 24-bit color version and an 8-bit color-reduced version, derived using an adaptive color reduction algorithm with diffusion dithering. Observers were asked whether they could detect any difference in quality between the image pairs. Then, regardless of their answer, they were asked to choose the better quality image of the pair. Overall, there was not a statistically significant ability to consciously detect differences between the image pairs ( P &lt; .750). However, when forced to choose, there was a significant preference for the 8-bit images as being of “better quality” ( P &lt; .005). We conclude that telepathology applications may be able to take advantage of adaptive color reduction algorithms to reduce image file size without sacrificing image quality. Additional studies must be performed to determine the minimal image requirements for accurate diagnosis by telepatholgy.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>9013829</pmid><doi>10.1016/S0046-8177(97)90276-8</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0046-8177
ispartof Human pathology, 1997, Vol.28 (1), p.36-41
issn 0046-8177
1532-8392
language eng
recordid cdi_proquest_miscellaneous_78806735
source MEDLINE; Elsevier ScienceDirect Journals Complete
subjects Color
digital imaging
telemedicine
telepathology
Telepathology - methods
title Color images in telepathology: How many colors do we need?
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T20%3A46%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Color%20images%20in%20telepathology:%20How%20many%20colors%20do%20we%20need?&rft.jtitle=Human%20pathology&rft.au=Doolittle,%20Marc%20H&rft.date=1997&rft.volume=28&rft.issue=1&rft.spage=36&rft.epage=41&rft.pages=36-41&rft.issn=0046-8177&rft.eissn=1532-8392&rft_id=info:doi/10.1016/S0046-8177(97)90276-8&rft_dat=%3Cproquest_cross%3E78806735%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=78806735&rft_id=info:pmid/9013829&rft_els_id=S0046817797902768&rfr_iscdi=true