Recently the camera resolution has been highly increased, and the registration between
high-resolution images is computationally expensive even by using hierarchical block …

Blur is one of the most common distortion types in image acquisition. Image deblurring has
been widely studied as an effective technique to improve the quality of blurred images …

To tackle the problem of partial loss of image details in infrared and visible image fusion, a
gradient transfer optimization model is proposed for the fusion of infrared and visible …

In this paper, we propose a new framework for image restoration by combining nonlocal
regularization technique with structured sparse representation using a novel parametric data …

Images often need to be aligned in a single coordinate system, and homography is one of
the most efficient geometric models to align images. This paper presents homographic p …

Aim: Structured light is frequently selected for efficient and accurate depth imaging, and
single-frame-based methods have been presented for real-time sensing or imaging dynamic …

Aiming at the block-based fusion methods for multi-focus images, such key problems like
finding a suitable block size and overcoming the blocking-artifact often occurs. To address …

The extended active shape models have shown their robustness in facial landmarks fitting.
However, we often meet substantial errors of lip landmarks fitting mostly due to teeth …

This paper presents an effective lip pixel detection method based on blocks and deep neural
networks. Since only-rough localization of a pair of lips is a trivial task, we use a rectangle …

Image restoration is a long‐standing problem in low‐level computer vision. In this paper, we
offer a simple but effective estimation paradigm for various image restoration problems …