报告主题:Image Restoration: Challenges and New Opportunities

报告专家:董伟生  教授

报告时间:2017年09月23日(周六) 15:00-17:00



    Image restoration aiming to increase the quality of the observed images has important applications in image processing and computer vision. This talks will first briefly introduce the challenges of this problem, and then move to the recent advances brought by the sparsity prior learning and the deep learning techniques. We show that the sparsity prior, learned from either the relevant images or the observed image can significantly improve the performances, and the breakthrough of deep learning techniques offers new opportunities in developing non-iterative image restoration algorithms, which can be motivated from the iterative sparsity-based algorithms.


董伟生,西安电子科技大学电子工程学院教授,博导,教育部“青年长江学者”特聘教授。2004年本科毕业于华中科技大学,2010年博士毕业于西安电子科技大学。主要研究方向为图像稀疏表示、图像恢复及计算机视觉等。发表论文40余篇,论文引用3000余次。曾获SPIE/IEEE VCIP国际会议最佳论文奖,陕西省科学技术一等奖。2016年获得国家自然科学基金优秀青年科学基金资助,担任包括IEEE T-IPSIAM J. on Imaging Science在内的3个国际期刊的AE

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