Hemant S. Goklani, Shravya S., and Jignesh N. Sarvaiya
Image super-resolution, Coupled Dictionary Learning (CDL), Cluster speciﬁc, Multi Image Multi-Coupled Dictionary Learning (MICDL)
Image super-resolution is the process of reconstructing
the high resolution image from a low resolution image.
This paper proposes Multi Image Multi-Coupled Dictionary
Learning (MICDL) as an extension to the algorithm
of image super-resolution based on Coupled Dictionary
Learning (CDL). In the proposed method, the training lowhigh
resolution images are obtained from image database.
Along with improving the training stage, the CDL approach
is further enhanced in this paper by incorporating clustering.
The image patches are clustered using K-means algorithm
followed by cluster speciﬁc dictionary learning and
cluster speciﬁc feature space mapping update. Simulation
results shows that the proposed MICDL method performs
better compared to other existing super-resolution methods.