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Edge-Avoiding Wavelets and their Applications (Yissum)

Summary: 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.New family of second-generation wavelets constructed using robust data-prediction lifting schemes. The new 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.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.

Technology Benefits: 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

Application No.: US patent Granted: 8,295,632

ID No.: 10-2009-2271

Country/Region: Israel

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