Being able to automatically predict digital picture quality, as perceived by human observers,
has become important in many applications where humans are the ultimate consumers of …

This paper introduces an approach for the extraction and combination of different cues in a
level set based image segmentation framework. Apart from the image grey value or colour …

Tensor fields specifically, matrix valued data sets, have recently attracted increased attention
in the fields of image processing, computer vision, visualization and medical imaging. In this …

We present computational solutions to two problems of macromolecular structure
interpretation from reconstructed three-dimensional electron microscopy (3D-EM) maps of …

Tensor fields (matrix valued data sets) have recently attracted increased attention in the
fields of image processing, computer vision, visualization and medical imaging. Tensor field …

Feature preserving image interpolation is an active area in image processing field. In this
paper a new direct edge directed image super-resolution algorithm based on structure …

Restricted by technical and budget constraints, hyperspectral (HS) image which contains
abundant spectral information generally has low spatial resolution. Fusion of hyperspectral …

Background The method of semi‐supervised semantic segmentation entails training with a
limited number of labeled samples alongside many unlabeled samples, aiming to reduce …

Automatic image annotation is a highly valuable tool for image search, retrieval and archival
systems. In the absence of an annotation tool, such systems have to rely on either users' …

Implicit active contour models are widely used in image processing and computer vision
tasks. Most implementations, however, are based on explicit updating schemes and are …