Jul 18, 2011 · Our approach is to apply a reconstruction-based super-resolution algorithm. Such an algorithm, however, has two main problems: first, it ...

The proposed system can indeed produce a high-resolution and good quality frontal face image from low-resolution video sequences and uses a learning-based ...

The experimental results show that the proposed system can indeed produce a high-resolution and good quality frontal face image from low-resolution video ...

This paper relates to extracting low quality faces from the video and convert it into high quality using super-resolution SR algorithms.

Our approach is to apply a reconstruction-based super-resolution algorithm. Such an algorithm, however, has two main problems: first, it requires relatively ...

In this paper, we present a method to generate a super-resolved face image from a given low-resolution (LR) face video sequence. The use of multiple frames for ...

The main idea in this paper is to recover a single high-resolution image from a set of low quality images from the video sequence. Several papers addressed the ...

In this paper, a new framework is proposed to extract face images from low resolution and variant illumination video sequences, which includes two parts: face ...

We propose a frontal face model FFSR_GAN used to generate super-resolution. This model mainly solves the problem of low resolution and large face pose.

The aim of this work is to investigate how to enhance the performance of face recognition from video sequences by selecting only well-framed face images ...