Summary of the technology
Improved Image Blur Removal
Project ID : 10-2012-2790
Description of the technology
Fast method eliminates need for repeated reconstructions of latent image
Computer Science & Engineering, Imaging/Computer Graphics
Patent application filed in the United States
In many practical scenarios, such as hand-held cameras or ones mounted on a moving vehicle, it is difficult to eliminate camera shake. Sensor movement during exposure leads to unwanted blur in the acquired image.
Current approaches are based on repeated reconstructions of the latent image, which makes them slow. Furthermore, many methods rely on explicit assumptions that do not always hold and thus undermine the accuracy of the estimated kernel and deblurred image.
There is therefore a need for a faster, more accurate method for removing blur in digital images.
Purely statistical approach to recover blur kernel in motion-blurred natural images by extracting a set of statistics from the input image and using them to recover the blur.
Figure: Kernels estimated by different methods and the resulting deblurred images
More robust and accurate recovery of blur kernel.
Able to cope well with images containing under-resolved texture and foliage clutter in outdoor scenes.
Input image only accessed once to extract small set of statistics, so the technique depends mostly on blur kernel size and does not scale with the image dimensions.
Method achieves highly accurate results in scenarios that challenge other approaches, at fast running times.
Method does not rely on the presence or detection of well-defined step edges at multiple orientations as required by other methods.
Seeking licensing opportunities
By 2016, the digital photography market should reach $82.5 billion.
Market researchers have predicted that by 2013, nearly 70% of handsets sold in the United States will come equipped with a camera of 2-megapixels or more and that consumers will respond to this trend by making greater use of mobile imaging software, including photo-editing.
VP Business Dev. Computer Science & IT Director
HUJI, School of Computer Science and Engineering
CS - Computer Vision
Additional information (attached documents)
About Yissum - Research Development Company of the Hebrew University
Technology Transfer Office from IsraelYissum - 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.