When one encounters a novel stimulus this sets off a cascade of brain responses, activating
several neuromodulatory systems. As a consequence novelty has a wide range of effects on …

Contrast in image processing is usually defined as a ratio between the darkest and the
brightest spots of an image. In this paper we introduce a different contrast definition. The …

Efficient convolutional neural networks (CNNs) are designed and trained for an underwater
target classification task with synthetic aperture sonar (SAS) imagery collected at sea. The …

Scene complexity refers to the difficulty of human perception and understanding of the
specific environment. An environment is complex when it has many parts or components …

The aim of this work is to predict the complexity perception of real world images. We propose
a new complexity measure where different image features, based on spatial, frequency and …

The inherently multidimensional problem of evaluating the complexity of an image is of a
certain relevance in both computer science and cognitive psychology. Computer scientists …

The complexity of images plays an important role in visual perception, including aesthetic
appreciation. We here propose the information-based model of visual complexity (IVC) …

Understanding how people perceive the visual complexity of shapes has important
theoretical as well as practical implications. One school of thought, driven by information …

Digital images can be analyzed at wide range of levels going from pixel arrangement to
semantics. As a consequence, finding a visual complexity estimator is a difficult task. In this …

Capacity is one of the most important parameters in image watermarking. Different works
have been done on this subject with different assumptions on image and communication …