In this paper we address the image restoration problem in the variational framework. Classical approaches minimize the Lp norm of the residual and rely on parametric assumptions o...
Cesario Vincenzo Angelino, Eric Debreuve, Michel B...
The paper focuses on reconstructing the discontinuity between homogenous color regions in an interpolated image to improve its perceptual quality. A low-resolution input image is ...
In this paper, we present a robust and accurate system for outdoor (as well as indoor) face recognition, based on a recently developed enhanced near-infrared (ENIR) imaging device....
Dong Yi, Rong Liu, Rufeng Chu, Rui Wang, Dong Liu,...
Resizing compressed images is often needed for different display, storage and transmission. Based on the analysis of energy reserving capacity for different basis vectors, we prop...
In this paper, we present a binarization technique specifically designed for historical document images. Existing methods for this problem focus on either finding a good global th...