In this paper, we present a new framework to compress the geometry of images. This framework generalizes the standard quad partitioning approaches in compression of image geometry ...
Kernel PCA has received a lot of attention over the past years and showed usefull for many image processing problems. In this paper we analyse the issue of normalization in Kernel...
Computational representation of perceived image quality is a fundamental problem in computer vision and image processing, which has assumed increased importance with the growing r...
In this paper, based on a careful investigation on the calibration (downsample) technique, we improve two detectors for detecting LSB matching: Calibrated HCF COM and Calibrated A...
In this paper we carry out cooperatively both disparity and object boundary estimation by setting the two tasks in a unified Markovian framework. We introduce a new joint probabil...
This paper addresses the face hallucination problem of converting thermal infrared face images into photo-realistic ones. It is a challenging task because the two modalities are o...
This paper proposes a three-dimensional (3D) body scanning system that uses passive stereo vision with a robot arm. So far, the reported 3D body scanning systems employ active 3D ...
Divisive normalization has been recognized as a successful approach to model the perceptual sensitivity of biological vision. It also provides a useful image representation that i...
Here we propose an alternative non-explicit way to take into account the relations among wavelet coefficients in natural images for denoising: we use Support Vector Machines (SVM)...
Valero Laparra, Juan Gutierrez, Gustavo Camps-Vall...
It is now widely acknowledged that wavelets are not very effective in representing images containing distributed discontinuities such as edges. This paper deals with a new multisc...
Sheng Yi, Demetrio Labate, Glenn R. Easley, Hamid ...