Results 31 to 40 of about 17,223,689 (245)

Statistics of gradient directions in natural images. [PDF]

open access: yes, 2007
Interest in finding statistical regularities in natural images has been growing since the advent of information theory and the advancement of the efficient coding hypothesis that the human visual system is optimised to encode natural visual stimuli.
Nasrallah, A.J.   +1 more
core  

Reduced-Reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics and Structural Degradation

open access: yesIEEE Access, 2018
Perceptual stereo image quality assessment (SIQA) aims to design computational models to measure the stereo image quality in accordance with human opinions.
Jian Ma, Ping An, Liquan Shen, Kai Li
doaj   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

open access: yesFEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure   +3 more
wiley   +1 more source

Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures

open access: yeseLife, 2020
Previously, in Hermundstad et al., 2014, we showed that when sampling is limiting, the efficient coding principle leads to a ‘variance is salience’ hypothesis, and that this hypothesis accounts for visual sensitivity to binary image statistics.
Tiberiu Tesileanu   +5 more
doaj   +1 more source

Gravitational effects of scene information in object localization

open access: yesScientific Reports, 2021
We effortlessly interact with objects in our environment, but how do we know where something is? An object’s apparent position does not simply correspond to its retinotopic location but is influenced by its surrounding context. In the natural environment,
Anna Kosovicheva, Peter J. Bex
doaj   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

open access: yesFEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas   +4 more
wiley   +1 more source

Melanopsin-mediated image statistics from natural and human-made environments

open access: yesScientific Reports
Melanopsin-expressing intrinsically photosensitive retinal ganglion cells (ipRGCs) play a critical role in regulating physiological and behavioral responses to light.
Pablo A. Barrionuevo   +1 more
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

Natural Image Statistics for Digital Image Forensics [PDF]

open access: yes, 2005
We describe a set of natural image statistics that are built upon two multi-scale image decompositions, the quadrature mirror filter pyramid decomposition and the local angular harmonic decomposition.
Lyu, Siwei
core  

No-Reference Image Quality Assessment Combining Swin-Transformer and Natural Scene Statistics

open access: yesSensors
No-reference image quality assessment aims to evaluate image quality based on human subjective perceptions. Current methods face challenges with insufficient ability to focus on global and local information simultaneously and information loss due to ...
Yuxuan Yang, Zhichun Lei, Changlu Li
doaj   +1 more source

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