  Feature preserving image interpolation is an active area in image processing
field. In this paper a new direct edge directed image super-resolution
algorithm based on structure tensors is proposed. Using an isotropic Gaussian
filter, the structure tensor at each pixel of the input image is computed and
the pixels are classified to three distinct classes; uniform region, corners
and edges, according to the eigenvalues of the structure tensor. Due to
application of the isotropic Gaussian filter, the classification is robust to
noise presented in image. Based on the tangent eigenvector of the structure
tensor, the edge direction is determined and used for interpolation along the
edges. In comparison to some previous edge directed image interpolation
methods, the proposed method achieves higher quality in both subjective and
objective aspects. Also the proposed method outperforms previous methods in
case of noisy and JPEG compressed images. Furthermore, without the need for
optimization in the process, the algorithm can achieve higher speed.
