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 Experiment Videos

Near-sensor image processing: a new paradigm.

R Forchheimer1, A Astrom

  • 1Dept. of Electr. Eng., Linkoping Univ.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Intensity mappings within the context of near-sensor image processing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Evidence of involvement of the PLAG1 gene in lipoblastomas.

International journal of oncology·2000
Same author

Sound exposure as a measure against driver drowsiness.

Ergonomics·1999
Same author

Keratinocyte-specific retinoid regulation of human cellular retinoic acid binding protein-II (hCRABPII) gene promoter requires an evolutionarily conserved DR1 retinoic acid-responsive element.

The Journal of investigative dermatology·1998
Same author

Laboratory studies of a sound system that maintains wakefulness.

Perceptual and motor skills·1998
Same author

Load pattern and pressure pain threshold in the upper trapezius muscle and psychosocial factors in medical secretaries with and without shoulder/neck disorders.

International archives of occupational and environmental health·1997
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Semantic Frame Interpolation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

This study explores near-sensor image processing, using photodiode properties for tasks like filtering and convolution. This approach enables adaptive image processing and feature extraction directly at the sensor level.

Area of Science:

  • Computer Vision
  • Image Processing
  • Sensor Technology

Background:

  • Traditional image processing involves significant data transfer from sensor to processor.
  • Low-level image processing tasks are computationally intensive.
  • Adapting to varying light conditions often requires complex algorithms.

Purpose of the Study:

  • To introduce and demonstrate the concept of near-sensor image processing.
  • To leverage the physical properties of image sensors for signal processing.
  • To enable efficient and adaptive image analysis at the source.

Main Methods:

  • Utilizing the analog-temporal behavior of photodiodes.
  • Employing thresholding amplifiers for signal processing.
  • Developing a simple measurement function for feature extraction.

Related Experiment Videos

Main Results:

  • Demonstrated feasibility of median filtering and convolution using sensor properties.
  • Showcased natural adaptivity to different light levels.
  • Successfully extracted image features like moments and shape factors.

Conclusions:

  • Near-sensor image processing offers a novel approach to efficient signal processing.
  • Integrating processing within the sensor reduces data handling burdens.
  • This technique allows for adaptive and feature-rich image analysis at the hardware level.