Real Time Edge Detection of Objects in Pictures and Videos, without Artifacts

Summary of the technology

Cluster5
Project ID : 10-2009-2271

Yissum - Research Development Company of the Hebrew University

Details of the Technology Offer

A New family of second-generation wavelets constructed using robust data-prediction lifting scheme

Highlights

  • Almost every application for manipulating and improving photographic images, such as noise reduction and detail enhancement, relies on scale separation.
  • Linear translation-invariant (LTI) filtering is the classic and efficient method for achieving scale separation; however the method generates visual artefacts such as halos.
  • Edge-preserving smoothing filters avoid these artefacts but are computationally expensive, they are time-consuming and often increase memory requirements.
  • The new wavelets accelerate the computation of the edge-preserving smoothing as well as various other popular applications (such as image colorization) at no memory cost.

Our Innovation

Family of second-generation wavelets constructed using robust data-prediction lifting schemes. The wavelets make it possible to compute nonlinear data-dependent multi-scale edge-preserving image filtering and processing at computation times which are linear in the number of image pixels.

Key Features

  • Avoids halo artefacts in band-independent multi-scale processing with minimal computational cost and without taking any special precautions.
  • Can be used to compute edge-aware interpolation schemes very efficiently, enabling real-time implementation of various applications such as image colorization
  • Avoids the difficulties of solving large and poorly conditioned systems of equations
  • Significantly accelerates various computational photography applications, achieving multi-scale data-dependent filtering at running times typical of linear translation-invariant (LTI) filtering.

The Opportunity

  • The software is ready for incorporation into any image processing toolkit or video processing system to provide significantly faster results at reduced cost. It has particular benefits for:
  • Edge-preserving smoothing of color images
  • Edge-aware noise removal
  • Dynamic-range compression
  • Scattered data interpolation for image colorization

Project manager

Anna Pellivert
VP, BUSINESS DEVELOPMENT

Project researchers

Raanan Fattal
HUJI, School of Computer Science and Engineering
Computer Science

Related Keywords

  • Information Processing, Information System, Workflow Management
  • IT and Telematics Applications
  • Multimedia
  • Computers
  • Computer Graphics Related
  • Specialised Turnkey Systems
  • Scanning Related
  • Peripherals
  • Computer Services
  • Computer Software Market
  • Other Computer Related
  • Computer Science & Engineering
  • Image Enhancement

About Yissum - Research Development Company of the Hebrew University

Yissum Research Development Company of the Hebrew University of Jerusalem Ltd. Founded in 1964 to protect and commercialize the Hebrew University’s intellectual property. Ranked among the top technology transfer companies, Yissum has registered over 8,900 patents covering 2,500 inventions; has licensed out 800 technologies and has spun-off 90 companies. Products that are based on Hebrew University technologies and were commercialized by Yissum generate today over $2 Billion in annual sales.

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