In this paper, we address a super-resolution problem of generating a high-resolution image
from low-resolution images. The proposed super-resolution method consists of three steps …

Crucial information barely visible to the human eye is often embedded in a series of low-
resolution images taken of the same scene. Super-resolution enables the extraction of this …

In order to improve the accuracy of sparse representation coefficients and the quality of
reconstructed images, an improved image super-resolution algorithm based on sparse …

Multiframe super-resolution (MFSR) can obtain a high-resolution image from a set of low-
resolution images. The performance of super-resolution is affected by the image prior …

The commonly-used image Super-resolution (SR) reconstruction methods are
computationally expensive and only applicable to “offline processing” cases. To reduce the …

In this paper, an adaptive super-resolution algorithm which calculates the regularization
operator and parameter based on PCA and wavelet (APW algorithm) is proposed …

This thesis introduces new techniques for global motion estimation using gradient descent
algorithms and M-estimators, and applies them to motion estimation for video compression …