Background: Medical image fusion is very important for the diagnosis and treatment of
diseases. In recent years, there have been a number of different multi-modal medical image …

In this paper we propose a new type of matching term for multi-view stereo reconstruction.
Our model is based on the assumption, that if one warps the images of the various views to a …

Matrix completion (MC) is widely used in machine learning and signal processing to fill in
the missing data of an incomplete observation matrix. Singular value thresholding (SVT) is …

This paper addresses the problem of image denoising in the presence of significant
corruption. Our method seeks an optimal set of image domain transformations such that the …

In this paper, a new video restoration approach is proposed. By using a modified version of
random PatchMatch algorithm, nearest-neighbor patches among the video frames can be …

Distortion representation is the key to the rectification of distorted document images. The text-
lines are considered to be one of the most significant features of the images, which are …