U.S.-Spain Cooperative Research: Total Variation Methods in Image Processing

这项为期两年的奖项旨在表彰美国和西班牙在基于PDE的图像处理方面的合作研究，研究小组由加州大学洛杉矶分校的Tony Chan和斯坦福大学的Gene Golub以及西班牙巴伦西亚大学的两名西班牙研究人员Antonio Marquina和Pep Mulet领导。主要研究了以下几个问题：全变分图像复原计算技术的设计，利用空间自适应性更好地恢复电视图像的局部细节，以及结合非线性扩散模型和小波去噪模型的优点。这一合作利用了美国和西班牙集团的互补专业知识。

This two-year award for US-Spain cooperative research in PDE-based image processing involves research groups headed by Tony Chan at UCLA and Gene Golub at Stanford University and by two Spanish researchers, Antonio Marquina and Pep Mulet at the University of Valencia, Spain. The objective of the research is to investigate the following problems: the design of computational techniques for total variation (TV) image restoration, the use of spatial adaptivity to better recover local details in TV image restoration, and combining the advantages of nonlinear diffusion models and wavelet denoising models. The collaboration takes advantage of the complementary expertise of the US and Spanish groups.