Sparse Bayesian Learning of Filters for Efficient Image Expansion

作者：Kanemura Atsunori^*; Maeda Shin ichi; Ishii Shin

来源：IEEE Transactions on Image Processing, 2010, 19(6): 1480-1490.

DOI：10.1109/TIP.2010.2043010

• Automatic relevance determination (ARD)
• image expansion
• image interpolation
• resolution synthesis (RS)
• sparse Bayesian estimation
• variational estimation

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones.

• 出版日期2010-6