Results for technologies (5)
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Super-Resolution Using Unsupervised Deep Internal Network (No. T4-1850)
Optical and dimensional limitations of images can be partially overcome today using signal enhancement technologies which typically rely on supervised, deep-learning methods.
Signal enhancement of corrupted input collected under suboptimal conditions, poses multiple challenges, in...
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5701
An Off-Line Image Search Engine (No. T4-1647)
Although images search engines are available online, offline networks and databases (in governmental offices, banks, etc.) require an efficient and reliable image search engine.
Nowadays, image searching and image classification are available to everyone online (e.g., Google image...
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5566
Super Resolution from a Single Visual Source (No. T4-1522)
Many imaging devices produce signals of unsatisfactory resolution (e.g. a photo from a cell-phone camera may have low spatial resolution or a video from a web camera may have both spatial and temporal low resolution).
Ever taken a digital photograph and then found out you had miss...
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5500
Smart Resize of Images & Videos (No. T4-1461)
Data storage of images and videos became a real issue in the last years when pictures and videos are taken and shared more often, and the memory devices aren’t being minimized fast enough.
Camera phones and social media made images and videos more accessible and widespread than ...
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5479
Software for Detecting Irregularities in Visual Data (No. T4-1381)
While image & video processing are rapidly developing fields, most of the recent algorithms must be trained on large and sorted databases to gain adequate performance. Detecting irregularities in previously unknown images or videos is still an unsolved problem. Prof.
Detecting...
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5461