Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
VizWiz: nearly real-time answers to visual questions
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
EasySnap: real-time audio feedback for blind photography
UIST '10 Adjunct proceedings of the 23nd annual ACM symposium on User interface software and technology
The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility
Helping visually impaired users properly aim a camera
Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility
Accessible photo album: enhancing the photo sharing experience for people with visual impairment
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Real time object scanning using a mobile phone and cloud-based visual search engine
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
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In this paper, we propose low-cost blur detection and estimation method which can be applied to improving image display on mobile phones. We detect the blurred image by constructing the Bayes discriminant function with the statistics of the gradients of the input image. Once the blurred image is detected, we extract the main ripple components from the log spectrum of the blurred image and measure the angle and width of the main ripple components to estimate the angle and extent of the blur kernel. The experimental results are provided to show the performance of the proposed blur kernel estimation and image restoration algorithm.