High Frequency Component Compensation based Super-Resolution Algorithm for Face Video Enhancement
نویسندگان
چکیده
This paper proposes a video-based high-frequency component compensation (HFCC) super-resolution algorithm. The lost high-frequency information is estimated by local MAP criteria, using the registered frames. By compensating the high frequency component iteratively, the high-resolution images are recovered. The algorithm has lower computational cost than the alternatives. Experimental evaluation verified the usefulness of the algorithm.
منابع مشابه
Alignment-Free and High-Frequency Compensation in Face Hallucination
Face hallucination is one of learning-based super resolution techniques, which is focused on resolution enhancement of facial images. Though face hallucination is a powerful and useful technique, some detailed high-frequency components cannot be recovered. It also needs accurate alignment between training samples. In this paper, we propose a high-frequency compensation framework based on residu...
متن کاملA Deep Model for Super-resolution Enhancement from a Single Image
This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...
متن کاملHallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation
A learning-based face hallucination method is proposed in this paper for the reconstruction of a high-resolution face image from a low-resolution observation based on a set of highand low-resolution training image pairs. The proposed global linear modal based super-resolution estimates the optimal weights of all the low-resolution training images and a high-resolution image is obtained by apply...
متن کاملSuper Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera
Resümee Super Resolution and Face Recognition Based People Activity Monitoring Enhancement Using Surveillance Camera Due to importance of security in the society, monitoring activities and recognizing specific people through surveillance video camera is playing an important role. One of the main issues in such activity rises from the fact that cameras do not meet the resolution requirement for ...
متن کاملPseudo Zernike Moment-based Multi-frame Super Resolution
The goal of multi-frame Super Resolution (SR) is to fuse multiple Low Resolution (LR) images to produce one High Resolution (HR) image. The major challenge of classic SR approaches is accurate motion estimation between the frames. To handle this challenge, fuzzy motion estimation method has been proposed that replaces value of each pixel using the weighted averaging all its neighboring pixels i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004