• A Precise Method for - Edge Detection in Images (No. T4-1250)

    Scientist: Ronen Basri

    A robust method of identifying moving or changing objects in a video sequence groups each pixel with other adjacent pixels according to either motion or intensity values. Pixels are then repeatedly regrouped into clusters in a hierarchical manner. As these clusters are regrouped, the motion pattern is refined, until the ... Read more
  • A Sensitive and Fast Image Subtrection Technique (No. T4-1801)

    Scientist: Avishay Gal-Yam

    Image sequences are used in various fields, including medical imaging and satellite/airborne imaging. The comparison between images taken at different conditions (e.g. equipment or configuration, angles, weather and wavelength) can be a highly non-trivial problem, as subtraction artifacts can outnumber real changes betwe ... Read more
  • Alignment of Non-Overlapping Sequences (No. T4-1121)

    Scientist: Michal Irani

    A method for aligning video images according to sequence. The problem of image alignment has been extensively studied, and successful approaches have been developed for solving this problem. However, these approaches turn out as problematic when there is insufficient overlap between the two images to allow extraction of ... Read more
  • Artificial Pancreas (No. T4-1942)

    Scientist: Eran Segal

    The alarmingly sharp increase in type 1 diabetes mellitus incidence in recent years has been coupled with a marked rise in the development of closed-loop systems aimed at continuously monitoring blood glucose levels, predicting glucose behavior and delivering adjusted insulin doses. However, to date, these systems still ... Read more
  • Automatic Animation in Video and Still Images (No. T4-1423)

    Scientist: Yosef Yomdin

    Many currently marketed animation tools enable users to define objects and provide them with motion, yet none enable the fast and automatic, animation of a full body captured in a single still photo. A new technology developed by a group of researchers from the Weizmann Institute of Science, enables automatic transformat ... Read more
  • Changing an Image Size without Information Loss (No. T4-1461)

    Scientist: Michal Irani

    Bidirectional Similarity offers a new approach to summarization of visual data (images and video) based on optimization of well defined similarity measure. Common visual summarization methods (mainly scaling and cropping) suffer from significant deficiencies related to image quality and loss of important data. Many attem ... Read more
  • Detecting Irregularities (such as suspicious movements) in Visual Data (No. T4-1381)

    Scientist: Michal Irani

    Detecting suspicious and/or salient behaviors in video Attention and saliency in images Detecting irregular tissue in medical images Automatic visual inspection for quality assurance (e.g., detecting defects in goods) Generating a video summary/synopsis Intelligent fast forward Non-visual data ... Read more
  • Detection of Short Dispered Pulse Signals (No. T4-1802)

    Scientist: Avishay Gal-Yam

    Pulses are applied in various fields such as oil & gas exploration, detection (e.g. sonar, lidar and radar) and communication. When pulses pass through dispersive media, the arrival times at the detector of different frequency components may differ, and as a result the pulse may become degraded (e.g. transformed to a ... Read more
  • Hip Replacment Monitoring Based on Audio Signal Processing (No. T4-1585)

    Scientist: David Tannor

    Our scientific team has discovered a method to apply the Gabor Transform to signal processing and data compression.Compared to existing methods that are based on Fourier transform, the new method provides for up to 25% savings in content size for video, audio and images, without any loss in quality.By embracing our metho ... Read more
  • Increasing Resolution of an Image (No. T4-1522)

    Scientist: Michal Irani

    A method for enhancing the spatial and or temporal resolution (if applicable) of an input signal such as images and videos.   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 te ... Read more


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