Abstract. Facial feature extraction is a fundamental problem in image processing. Correct extraction of features is essential for the success of many applications. Typical feature ...
This paper proposes a video-based super-resolution algorithm by high-frequency component compensation. Normalized logarithm distance (NLD) minimization on local shape feature is p...
This paper introduces a new procedure to handle color in single image super resolution (SR). Most existing SR techniques focus primarily on enforcing image priors or synthesizing i...
Shuaicheng Liu, Michael S. Brown, Seon Joo Kim, Yu...
A video from a moving camera produces different number of observations of different scene areas. We can construct an attention map of the scene by bringing the frames to a common ...
Super-resolution (SR) of facial images from video suffers from facial expression changes. Most of the existing SR algorithms for facial images make an unrealistic assumption that ...