{"id":2691,"date":"2025-11-07T16:00:00","date_gmt":"2025-11-07T09:00:00","guid":{"rendered":"https:\/\/dgway.com\/blog_E\/?p=2691"},"modified":"2025-11-28T10:52:35","modified_gmt":"2025-11-28T03:52:35","slug":"breaking-limits-in-scene-text-recognition-cuee-mdap-labs-ai-super-resolution-model","status":"publish","type":"post","link":"https:\/\/dgway.com\/blog_E\/2025\/11\/07\/breaking-limits-in-scene-text-recognition-cuee-mdap-labs-ai-super-resolution-model\/","title":{"rendered":"Breaking Limits in Scene Text Recognition: CUEE MDAP Lab\u2019s AI Super-Resolution Model"},"content":{"rendered":"\n<p class=\"has-pale-pink-color has-text-color has-link-color wp-elements-f4b77dbc30d114eaaad64d83bf218618 wp-block-paragraph\"><em>From the <strong>CUEE MDAP Lab<\/strong> (Multimedia Data Analytics and Processing Research Unit), Department of Electrical Engineering, Chulalongkorn University<\/em><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-1024x512.png\" alt=\"From the CUEE MDAP Lab (Multimedia Data Analytics and Processing Research Unit), Department of Electrical Engineering, Chulalongkorn University\" class=\"wp-image-2721\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-1024x512.png 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-300x150.png 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-768x384.png 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-1536x768.png 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-2048x1024.png 2048w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/AI-DRIVEN-IP-CORE-INNOVATION-500x250.png 500w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Turning Blurry Words into Crystal-Clear Text with AI<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Have you ever taken a photo of a sign or document, only to find the text too blurry to read? This is a big challenge not just for us, but also for computers. When machines try to read text from low-quality images\u2014whether it\u2019s for traffic signs, street names, or scanned documents\u2014they often struggle. This problem is known as <strong>Scene Text Recognition (STR)<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To fix this, researchers developed a technique called <strong>Scene Text Image Super-Resolution (STISR)<\/strong>. Think of it like giving glasses to a blurry image: it sharpens the text, making it clearer and easier for both humans and AI systems to understand.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"672\" height=\"448\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Scene-Text-Recognition-STR.png\" alt=\"An illustration comparing blurry and clear text recognition using AI. On the left, labeled \u201cBefore (LR),\u201d a hand holds a smartphone showing distorted letters \u201cW*??R.\u201d On the right, labeled \u201cAfter (STISR),\u201d the word \u201cWATER\u201d appears clear through glasses, representing AI Super-Resolution technology. The image symbolizes how CUEE MDAP Lab\u2019s AI model transforms unreadable scene text into sharp, understandable words.\" class=\"wp-image-2694\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Scene-Text-Recognition-STR.png 672w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Scene-Text-Recognition-STR-300x200.png 300w\" sizes=\"auto, (max-width: 672px) 100vw, 672px\" \/><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><a>\ud83d\udcf8 The Problem with Blurry Text<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Cameras in real life\u2014like the ones in phones, drones, or surveillance systems\u2014don\u2019t always capture perfect images. Poor lighting, shaky hands, or distance can make text hard to read. Traditional methods to sharpen images improve the picture, but they often miss the fine details that matter most for text: <strong>edges, strokes, and character shapes<\/strong>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"131\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Example-of-a-low-resolution-scene-text-image-1024x131.png\" alt=\"A comparative image showing several low-resolution scene text samples labeled \u201cLR,\u201d each displaying blurry or partially unreadable words such as \u201cwator,\u201d \u201cvro,\u201d \u201clons,\u201d and \u201ccllm.\u201d The image demonstrates the visual challenge of recognizing text from unclear, low-quality images \u2014 a problem addressed by CUEE MDAP Lab\u2019s AI Super-Resolution Model for accurate scene text recognition.\" class=\"wp-image-2695\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Example-of-a-low-resolution-scene-text-image-1024x131.png 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Example-of-a-low-resolution-scene-text-image-300x38.png 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Example-of-a-low-resolution-scene-text-image-768x98.png 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Example-of-a-low-resolution-scene-text-image-1536x196.png 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Example-of-a-low-resolution-scene-text-image.png 1540w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 1 Example of a low-resolution scene text image<\/figcaption><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><a>\ud83e\udd16 Enter MADN: Multi-Attention with Diffusion Network<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">A new model called <strong>MADN<\/strong> has been designed to solve this exact issue. Instead of just brightening or sharpening the whole image, MADN uses smart AI techniques to focus only on the important parts\u2014the letters themselves.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here\u2019s how it works:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Attention Modules<\/strong>: Like a human eye focusing on key details, MADN has a system that decides what parts of the image matter most. It zooms in on the letters while ignoring the background.<\/li>\n\n\n\n<li><strong>Sequential Learning<\/strong>: Text isn\u2019t just shapes; it\u2019s a sequence of letters. MADN uses a memory mechanism (BLSTM) to understand how characters relate to each other, helping it guess missing or blurry parts more accurately.<\/li>\n\n\n\n<li><strong>Diffusion Process<\/strong>: This clever trick gradually removes noise and sharpens details, almost like a digital artist carefully redrawing each letter.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The result? Text images that go from unreadable blobs to <strong>clear, structured words<\/strong>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"383\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-restores-blurry-text-into-clear-readable-words-1024x383.png\" alt=\"A comparison chart showing the improvement from low-resolution text images (labeled \u201cLR\u201d) to enhanced results produced by MADN (Ours). The top row displays blurry, unreadable words like \u201cwator\u201d and \u201ccllm,\u201d while the bottom row shows AI-restored text such as \u201cwater\u201d and \u201cchildren.\u201d The green arrow highlights how CUEE MDAP Lab\u2019s MADN model transforms unclear text into clear, readable characters through advanced AI Super-Resolution technology.\" class=\"wp-image-2696\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-restores-blurry-text-into-clear-readable-words-1024x383.png 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-restores-blurry-text-into-clear-readable-words-300x112.png 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-restores-blurry-text-into-clear-readable-words-768x287.png 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-restores-blurry-text-into-clear-readable-words-1536x575.png 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-restores-blurry-text-into-clear-readable-words.png 1540w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 2 MADN restores blurry text into clear, readable words<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">In tests with the <strong>TextZoom dataset<\/strong> (a benchmark for this problem), MADN outperformed previous models, delivering sharper images and higher recognition accuracy.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"628\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-outperforms-existing-models-on-TextZoom-dataset-1-1024x628.jpg\" alt=\"A comparison chart showing text restoration results across multiple AI models on the TextZoom dataset. Rows represent methods such as Bicubic, SRCNN, SRResNet, RDN, TSRN, and MADN (Ours), while columns show Easy, Medium, and Hard subsets with sample words like \u201cregular,\u201d \u201cwork,\u201d \u201cTHURSDAYS,\u201d and \u201cPOLYTECHNIC.\u201d The MADN model, highlighted in a red box, produces the clearest and most accurate text outputs, demonstrating superior performance in scene text super-resolution and recognition.\" class=\"wp-image-2698\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-outperforms-existing-models-on-TextZoom-dataset-1-1024x628.jpg 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-outperforms-existing-models-on-TextZoom-dataset-1-300x184.jpg 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-outperforms-existing-models-on-TextZoom-dataset-1-768x471.jpg 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-outperforms-existing-models-on-TextZoom-dataset-1-1536x942.jpg 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/MADN-outperforms-existing-models-on-TextZoom-dataset-1.jpg 1540w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Figure 3 MADN outperforms existing models on TextZoom dataset<\/figcaption><\/figure>\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><a>\ud83d\ude80 A Step Toward Smarter Vision<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">What makes MADN stand out is its balance of accuracy and efficiency\u2014delivering state-of-the-art text clarity with moderate compute. The paper also notes real-time optimization for edge deployments in autonomous and smart-city scenarios as the next step.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><a>\ud83c\udf0d Why This Matters<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This technology isn\u2019t just academic. It has a real-world impact in:<\/p>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Autonomous-Driving-1024x576.jpg\" alt=\"A futuristic autonomous car driving in rainy, foggy weather illuminated by streetlights, with a glowing AI-enhanced road sign reading \u201cSTOP.\u201d The image represents how CUEE MDAP Lab\u2019s AI Super-Resolution Model enables vehicles to recognize road signs clearly in poor weather conditions for safer autonomous driving.\" class=\"wp-image-2699 size-full\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Autonomous-Driving-1024x576.jpg 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Autonomous-Driving-300x169.jpg 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Autonomous-Driving-768x432.jpg 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Autonomous-Driving-1536x864.jpg 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Autonomous-Driving.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h2 class=\"wp-block-heading\">Autonomous Driving<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Reading road signs in poor weather.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Smart-Cities-1024x576.jpg\" alt=\"A futuristic smart city street at night showing an old, faded road sign digitally restored by AI. The left half of the sign appears cracked and weathered, while the right half glows bright and sharp with cyan holographic effects \u2014 symbolizing how CUEE MDAP Lab\u2019s AI Super-Resolution Model brings clarity and modernization to city infrastructure.\" class=\"wp-image-2700 size-full\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Smart-Cities-1024x576.jpg 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Smart-Cities-300x169.jpg 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Smart-Cities-768x432.jpg 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Smart-Cities-1536x864.jpg 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Smart-Cities.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h2 class=\"wp-block-heading\">Smart Cities<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Digitizing old or damaged signs.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Document-Scanning-1024x576.jpg\" alt=\"A futuristic document scanning scene showing a paper split into two halves \u2014 one side blurry and faded, the other sharp and clear after AI enhancement. A glowing cyan scanning beam runs across the page, representing how CUEE MDAP Lab\u2019s AI Super-Resolution Model restores lost details and improves text clarity in digital document processing.\" class=\"wp-image-2701 size-full\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Document-Scanning-1024x576.jpg 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Document-Scanning-300x169.jpg 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Document-Scanning-768x432.jpg 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Document-Scanning-1536x864.jpg 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Document-Scanning.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h2 class=\"wp-block-heading\">Document Scanning<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Recovering details from low-quality scans.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Security-and-Surveillance-1024x576.jpg\" alt=\"A futuristic surveillance scene divided into two halves \u2014 the left side shows blurry, low-quality CCTV footage of a street and vehicle, while the right side is enhanced with crystal-clear detail and a visible license plate. Cyan holographic overlays symbolize how CUEE MDAP Lab\u2019s AI Super-Resolution Model clarifies camera footage for advanced security and surveillance analysis.\" class=\"wp-image-2702 size-full\" srcset=\"https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Security-and-Surveillance-1024x576.jpg 1024w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Security-and-Surveillance-300x169.jpg 300w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Security-and-Surveillance-768x432.jpg 768w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Security-and-Surveillance-1536x864.jpg 1536w, https:\/\/dgway.com\/blog_E\/wp-content\/uploads\/2025\/11\/Security-and-Surveillance.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h2 class=\"wp-block-heading\">Security and Surveillance<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Making sense of blurry camera footage.<\/p>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>In Short:<\/strong> The MADN model gives AI-powered \u201cglasses\u201d to blurry text images, making them readable and useful again. It\u2019s a powerful step forward in how machines\u2014and people\u2014can interact with the world through clearer, sharper digital vision.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><a>\ud83d\udd17 Learn more &amp; official links<\/a><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.cuee-mdap.co\/\" data-type=\"link\" data-id=\"https:\/\/www.cuee-mdap.co\/\" target=\"_blank\" rel=\"noreferrer noopener\">CUEE MDAP <strong>official website<\/strong><\/a><\/li>\n\n\n\n<li>Collaboration announcement: <strong><a href=\"https:\/\/www.cuee-mdap.co\/post\/announcement-of-collaboration-for-ai-ip-core-technology-development-between-design-gateway-and-mdap\" data-type=\"link\" data-id=\"https:\/\/www.cuee-mdap.co\/post\/announcement-of-collaboration-for-ai-ip-core-technology-development-between-design-gateway-and-mdap\" target=\"_blank\" rel=\"noreferrer noopener\">MDAP \u00d7 Design Gateway<\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><a>\ud83d\udcec Contact Us<\/a><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Interested in research from the <strong>CUEE MDAP Lab<\/strong>\u2014including this MADN work or other lab projects such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Anomaly Detection<\/li>\n\n\n\n<li>Digital Image and Video Super\u2011resolution Techniques<\/li>\n\n\n\n<li>Digital Video Coding<\/li>\n\n\n\n<li>Face Recognition and Emotional Expression<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Please reach out via <strong>Design Gateway<\/strong> to connect with the team and learn more.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 <a href=\"https:\/\/dgway.com\/contact.html\" data-type=\"link\" data-id=\"https:\/\/dgway.com\/contact.html\" target=\"_blank\" rel=\"noreferrer noopener\">Contact Design Gateway<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><a id=\"_msocom_1\"><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From the CUEE MDAP Lab (Multimedia Data Analytics and Processing Research Unit), Department of Electrical Engineering, Chulalongkorn University Turning Blurry Words into Crystal-Clear Text with AI Have you ever taken a photo of a sign or document, only to find the text too blurry to read? This is a big challenge not just for us, but also for computers. When&#46;&#46;&#46;<\/p>\n","protected":false},"author":1,"featured_media":2704,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[846,836,833,852,848,842,839,840,835,850,841,853,844,851,849,834,845,843,838,847],"class_list":["post-2691","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fpga-ai","tag-ai-for-low-resolution-images","tag-ai-image-enhancement","tag-ai-super-resolution","tag-ai-vision-technology","tag-ai-visual-clarity","tag-autonomous-driving-vision","tag-blurry-image-recovery","tag-computer-vision-research","tag-cuee-mdap-lab","tag-cutting-edge-ai-research","tag-deep-learning-innovation","tag-design-gateway-collaboration","tag-document-scanning-ai","tag-image-super-resolution-model","tag-machine-learning-for-vision","tag-scene-text-recognition","tag-security-and-surveillance-ai","tag-smart-city-ai","tag-text-restoration-technology","tag-textzoom-dataset"],"_links":{"self":[{"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/posts\/2691","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/comments?post=2691"}],"version-history":[{"count":4,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/posts\/2691\/revisions"}],"predecessor-version":[{"id":2723,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/posts\/2691\/revisions\/2723"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/media\/2704"}],"wp:attachment":[{"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/media?parent=2691"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/categories?post=2691"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dgway.com\/blog_E\/wp-json\/wp\/v2\/tags?post=2691"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}