Figure 2From: Adaptive example-based super-resolution using kernel PCA with a novel classification approachOutline of the KPCA-based adaptive SR algorithm. The proposed method is composed of two procedures: clustering of training HR patches and estimation of missing high-frequency components of a target image. In the missing high-frequency component estimation algorithm, adaptive selection of the optimal cluster is newly introduced in the proposed method.Back to article page