{"id":237444,"date":"2026-05-20T03:41:28","date_gmt":"2026-05-20T08:41:28","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/05\/hybrid-projector-delivers-super-resolution-images-across-extended-depth-with-16-fold-gain"},"modified":"2026-05-20T03:41:28","modified_gmt":"2026-05-20T08:41:28","slug":"hybrid-projector-delivers-super-resolution-images-across-extended-depth-with-16-fold-gain","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/05\/hybrid-projector-delivers-super-resolution-images-across-extended-depth-with-16-fold-gain","title":{"rendered":"Hybrid projector delivers super-resolution images across extended depth with 16-fold gain"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/hybrid-projector-delivers-super-resolution-images-across-extended-depth-with-16-fold-gain.jpg\"><\/a><\/p>\n<p>Researchers at the University of California, Los Angeles (UCLA) have developed a novel image projection system that delivers super-resolution images over an extended depth of field. By combining a neural network-based digital encoder with a passive all-optical diffractive decoder, the system drastically compresses image data for efficient transmission of image information. This platform operates without extra power at the decoding stage, promising advancements for next-generation virtual and augmented reality displays.<\/p>\n<p>The study is <a href=\"https:\/\/www.nature.com\/articles\/s41377-026-02320-7\" target=\"_blank\">published<\/a> in the journal Light: Science &amp; Applications.<\/p>\n<p>A research team led by Professors Aydogan Ozcan and Mona Jarrahi, along with UCLA graduate student Hanlong Chen, designed a system that divides the image projection workload into two parts.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at the University of California, Los Angeles (UCLA) have developed a novel image projection system that delivers super-resolution images over an extended depth of field. By combining a neural network-based digital encoder with a passive all-optical diffractive decoder, the system drastically compresses image data for efficient transmission of image information. This platform operates without [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1498,6],"tags":[],"class_list":["post-237444","post","type-post","status-publish","format-standard","hentry","category-augmented-reality","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/237444","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=237444"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/237444\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=237444"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=237444"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=237444"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}