Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Perceptual Constancy01:12

Perceptual Constancy

1.6K
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
1.6K
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.5K
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
1.5K
Anatomy of the Eyeball01:20

Anatomy of the Eyeball

10.1K
The eye is a spherical, hollow structure composed of three tissue layers. The outer layer — the fibrous tunic, comprises the sclera — a white structure — and the cornea, which is transparent. The sclera encompasses some of the ocular surface, most of which is not visible. However, the 'white of the eye' is distinctively visible in humans compared to other species. The cornea, a clear covering at the front of the eye, enables light penetration. The eye's middle...
10.1K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.2K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.2K
Visual System01:26

Visual System

2.0K
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
2.0K
Vision01:24

Vision

60.5K
Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
60.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Contrast sensitivity in multimodal large language models: A psychophysics-inspired evaluation.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

A Turing Test for artificial nets devoted to vision.

Frontiers in artificial intelligence·2026
Same author

RAID-Dataset: human responses to affine image distortions and Gaussian noise.

Scientific data·2026
Same author

Responses of neurons in macaque V4 to object and texture images.

bioRxiv : the preprint server for biology·2025
Same author

Framework to Simulate Perceived Images Affected by Human Visual System Disorders.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Detection of moving objects using self-motion constraints on optic flow.

ArXiv·2025
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

Related Experiment Video

Updated: Feb 20, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.6K

Perceptually optimized image rendering.

Valero Laparra, Alexander Berardino, Johannes Ballé

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |October 17, 2017
    PubMed
    Summary
    This summary is machine-generated.

    We developed a novel framework to optimize photographic image rendering for perceptual similarity. This method enhances image contrast and detail across various display constraints without manual tuning.

    More Related Videos

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.3K
    Optimized Protocol for Retinal Wholemount Preparation for Imaging and Immunohistochemistry
    08:32

    Optimized Protocol for Retinal Wholemount Preparation for Imaging and Immunohistochemistry

    Published on: December 13, 2013

    24.3K

    Related Experiment Videos

    Last Updated: Feb 20, 2026

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.6K
    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    12.3K
    Optimized Protocol for Retinal Wholemount Preparation for Imaging and Immunohistochemistry
    08:32

    Optimized Protocol for Retinal Wholemount Preparation for Imaging and Immunohistochemistry

    Published on: December 13, 2013

    24.3K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Human Visual System Modeling

    Background:

    • Current image rendering methods often require manual parameter tuning.
    • High dynamic range (HDR) images present challenges for standard displays.
    • Perceptual image quality metrics are crucial for realistic rendering.

    Purpose of the Study:

    • To develop an automated framework for rendering photographic images that optimizes perceptual similarity to the original scene.
    • To evaluate the framework's performance under various display constraints, including dynamic range limitations.

    Main Methods:

    • Minimizing the normalized Laplacian pyramid distance (NLPD), a metric derived from human visual system models.
    • Applying the optimization to images with higher dynamic range than the display.
    • Testing the framework with constraints on black point, mean luminance, and luminance quantization.

    Main Results:

    • The framework effectively boosts contrast of low-contrast features without artifacts, matching state-of-the-art quality.
    • Demonstrated effectiveness for various display limitations and image degradations like fog.
    • Showcased the necessity of NLPD components: power function, multiscale transform, and local contrast gain control.

    Conclusions:

    • The developed framework offers an automated and effective solution for perceptually optimized image rendering.
    • NLPD is a competitive image quality metric and its components are vital for enhanced image detail and contrast.
    • The method generalizes well to different display constraints and image restoration tasks.