Results 11 to 20 of about 17,223,689 (245)

Natter: A Python Natural Image Statistics Toolbox [PDF]

open access: yesJournal of Statistical Software, 2014
The statistical analysis and modeling of natural images is an important branch of statistics with applications in image signaling, image compression, computer vision, and human perception.
Fabian H. Sinz   +3 more
doaj   +2 more sources

Visualizing Natural Image Statistics [PDF]

open access: yes, 2013
Natural image statistics is an important area of research in cognitive sciences and computer vision. Visualization of statistical results can help identify clusters and anomalies as well as analyze deviation, distribution and correlation.
Rosin, PL   +12 more
core   +8 more sources

A Physical Explanation for Natural Image Statistics [PDF]

open access: yes, 2002
The statistics of texture operators on natural images are empirically determined to conform to a Weibull process. We explain these findings from the physical principles of fragmentation processes.
Smeulders, A.W.M., Geusebroek, J.M.
core   +7 more sources

Looking for Image Statistics: Active Vision With Avatars in a Naturalistic Virtual Environment

open access: yesFrontiers in Psychology, 2021
The efficient coding hypothesis posits that sensory systems are tuned to the regularities of their natural input. The statistics of natural image databases have been the topic of many studies, which have revealed biases in the distribution of ...
Dominik Straub   +3 more
doaj   +1 more source

Natural Image Statistics for Natural Image Segmentation [PDF]

open access: yes, 2003
Building on recent progress in modeling filter response statistics of natural mages we integrate a statistical model into a variational framework for image segmentation.
Heiler, Matthias, Schnörr, Christoph
core   +2 more sources

Spatial Frequency and the Performance of Image-Based Visual Complexity Metrics

open access: yesIEEE Access, 2020
There is a wide range of visual and spatial complexity measurement methods that aim to quantify perceived image complexity. While image-based calculation methods (edge detection, image compression, contrast) characterize a digital image, visual ...
Dorukalp Durmus
doaj   +1 more source

Learning midlevel image features for natural scene and texture classification [PDF]

open access: yes, 2007
This paper deals with coding of natural scenes in order to extract semantic information. We present a new scheme to project natural scenes onto a basis in which each dimension encodes statistically independent information.
O'Connor, Noel E.   +4 more
core   +2 more sources

How sensitive is the human visual system to the local statistics of natural images? [PDF]

open access: yesPLoS Computational Biology, 2013
A key hypothesis in sensory system neuroscience is that sensory representations are adapted to the statistical regularities in sensory signals and thereby incorporate knowledge about the outside world.
Holly E Gerhard   +2 more
doaj   +1 more source

Temporal statistics of natural image sequences generated by movements with insect flight characteristics. [PDF]

open access: yesPLoS ONE, 2014
Many flying insects, such as flies, wasps and bees, pursue a saccadic flight and gaze strategy. This behavioral strategy is thought to separate the translational and rotational components of self-motion and, thereby, to reduce the computational efforts ...
Alexander Schwegmann   +2 more
doaj   +1 more source

Textures vs Non-Textures: A Simple Computational Method for Classifying Perceived ‘Texturality’ in Natural Images

open access: yesi-Perception, 2021
The visual system represents textural image regions as simple statistics that are useful for the rapid perception of scenes and surfaces. What images ‘textures’ are, however, has so far mostly been subjectively defined. The present study investigated the
Fumiya Kurosawa   +3 more
doaj   +1 more source

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