Bulletin No. 1, 2012

Image De-blurring Technology Enhanced   25  Robust de-blurring software can be downloaded at www.cse.cuhk.edu.hk/~leojia/projects/robust_ deblur/deblurring.htm . Comparison of the effects of conventional image-sharpening technology and CUHK’s motion- de-blurring technology Input Software sharpening Robust de-blurring technology. Compared to edge-sharpening technology, this new technique is more effective and efficient as it increases image clarity by 100 times, and not more than 10 seconds are needed to process a photo with 1,000,000 pixels. Professor Jia and Dr. Xu proposed a novel kernel estimation method based on an integrated study on speed, reliability and user-friendliness in blur removal, and took the noise control and ringing artifacts into consideration when restoring pictures from significant motion blurs. The research team is able to efficiently and accurately reconstruct blurred data in the recorded image with the adoption of de-convolution, analysis of blur kernel and identification of camera motion. Professor Jia’s team ran continuous tests on various kinds of images, including night shots and shots of sports, wild animals and aquarium with positive results. The team began their research in early 2010 and it took them one and a half year to finish. In addition to daily life photos, this new technology can also be used to restore CCTV, medical and satellite images, and help preserve important historical visual data.