{"id":222529,"date":"2025-09-26T04:30:34","date_gmt":"2025-09-26T09:30:34","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/09\/compact-camera-uses-25-color-channels-for-high-speed-high-definition-hyperspectral-video"},"modified":"2025-09-26T04:30:34","modified_gmt":"2025-09-26T09:30:34","slug":"compact-camera-uses-25-color-channels-for-high-speed-high-definition-hyperspectral-video","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/09\/compact-camera-uses-25-color-channels-for-high-speed-high-definition-hyperspectral-video","title":{"rendered":"Compact camera uses 25 color channels for high-speed, high-definition hyperspectral video"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/compact-camera-uses-25-color-channels-for-high-speed-high-definition-hyperspectral-video.jpg\"><\/a><\/p>\n<p>A traditional digital camera splits an image into three channels\u2014red, green and blue\u2014mirroring how the human eye perceives color. But those are just three discrete points along a continuous spectrum of wavelengths. Specialized \u201cspectral\u201d cameras go further by sequentially capturing dozens, or even hundreds, of these divisions across the spectrum.<\/p>\n<p>This process is slow, however, meaning that hyperspectral cameras can only take still images, or videos with very low frame rates, or frames per second (fps). But what if a high-fps video camera could capture dozens of wavelengths at once, revealing details invisible to the naked eye?<\/p>\n<p>Now, researchers at the University of Utah\u2019s John and Marcia Price College of Engineering have developed a new way of taking a high-definition snapshot that encodes spectral data into images, much like a traditional camera encodes color. Instead of a filter that divides light into three color channels, their specialized filter divides it into 25. Each pixel stores compressed spectral information along with its <a href=\"https:\/\/techxplore.com\/tags\/spatial+information\/\" rel=\"tag\" class=\"\">spatial information<\/a>, which computer algorithms can later reconstruct into a \u201ccube\u201d of 25 separate images\u2014each representing a distinct slice of the visible spectrum.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A traditional digital camera splits an image into three channels\u2014red, green and blue\u2014mirroring how the human eye perceives color. But those are just three discrete points along a continuous spectrum of wavelengths. Specialized \u201cspectral\u201d cameras go further by sequentially capturing dozens, or even hundreds, of these divisions across the spectrum. This process is slow, however, [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523,41],"tags":[],"class_list":["post-222529","post","type-post","status-publish","format-standard","hentry","category-computing","category-information-science"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/222529","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=222529"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/222529\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=222529"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=222529"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=222529"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}