Results 11 to 20 of about 550,068 (301)
Visualizing Natural Image Statistics [PDF]
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. Furthermore, they can provide visual abstractions and symbolism for categorized data.
Hui Fang 0003 +9 more
core +8 more sources
Image statistics and anisotropic diffusion [PDF]
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understood, technique for denoising such images. Diffusion approaches however require the selection of an "edge stopping" function, the definition of which is typically ad hoc.
Hanno Scharr +2 more
openaire +2 more sources
Natter: A Python Natural Image Statistics Toolbox
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 +3 more sources
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features
With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in many practical, everyday applications are not available, the need for ...
Domonkos Varga
doaj +1 more source
Luminance contrast provides metric depth information
The perception of depth from retinal images depends on information from multiple visual cues. One potential depth cue is the statistical relationship between luminance and distance; darker points in a local region of an image tend to be farther away than
Paul B. Hibbard +4 more
doaj +1 more source
Statistics of Infrared Images [PDF]
The proliferation of low-cost infrared cameras gives us a new angle for attacking many unsolved vision problems by leveraging a larger range of the electromagnetic spectrum. A first step to utilizing these images is to explore the statistics of infrared images and compare them to the corresponding statistics in the visible spectrum.
Nigel J. W. Morris +3 more
openaire +2 more sources
Analysis and Synthesis of Natural Texture Perception From Visual Evoked Potentials
The primate visual system analyzes statistical information in natural images and uses it for the immediate perception of scenes, objects, and surface materials.
Taiki Orima +2 more
doaj +1 more source
Explaining Orientation Adaptation in V1 by Updating the State of a Spatial Model
In this work, we extend an influential statistical model based on the spatial classical receptive field (CRF) and non-classical receptive field (nCRF) interactions (Coen-Cagli et al., 2012) to explain the typical orientation adaptation effects observed ...
Shaobing Gao, Xiao Liu
doaj +1 more source
Statistics of range images [PDF]
The statistics of range images from natural environments is a largely unexplored field of research. It closely relates to the statistical modeling of the scene geometry in natural environments, and the modeling of optical natural images. We have used a 3D laser range-finder to collect range images from mixed forest scenes.
Huang, Jinggang +2 more
openaire +2 more sources
Viewing Art in Different Contexts
While aesthetic experiences are not limited to any particular context, their sensorial, cognitive and behavioral properties can be profoundly affected by the circumstances in which they occur.
Vicente Estrada-Gonzalez +3 more
doaj +1 more source

