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

Lossless Lines01:23

Lossless Lines

In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx and a shunt capacitance CΔx.
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...

You might also read

Related Articles

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

Sort by
Same author

Revisiting the role of structural connectivity-based parcellation in thalamic nuclei segmentation: Benchmarking against recent state-of-the-art methods.

PloS one·2026
Same author

Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI.

Magnetic resonance in medicine·2026
Same author

Robust thalamic nuclei segmentation using spectral clustering of fiber orientation distributions.

PloS one·2026
Same author

In an older-age vascular cohort, carotid stenosis is associated with processing speed and executive function cognitive deficits, which correlate with p-tau217.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Revisiting the Role of Structural Connectivity-Based Parcellation in Thalamic Nuclei Segmentation: comparison with recent state-of-the-art methods.

medRxiv : the preprint server for health sciences·2025
Same author

Diagnosing abdominal neoplasms using a T2 mapping radial turbo spin-echo technique with partial volume correction.

European radiology·2025
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

Related Experiment Video

Updated: May 18, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Visually lossless encoding for JPEG2000.

Han Oh1, Ali Bilgin, Michael W Marcellin

  • 1Digital Imaging Business Division, Samsung Electronics, Suwon 443-803, Korea. ohhan@email.arizona.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 6, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a visually lossless image compression method using JPEG2000. It quantizes image data based on visibility thresholds, minimizing visible artifacts for efficient, high-quality image compression.

Related Experiment Videos

Last Updated: May 18, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Information Theory

Background:

  • Exponential growth in image sizes necessitates efficient compression techniques.
  • Numerically lossless coding offers limited compression ratios, driving the need for alternatives.
  • Visually lossless coding aims to reduce file sizes while preserving perceived image quality.

Purpose of the Study:

  • To present a method for visually lossless color image encoding using JPEG2000.
  • To minimize coding artifacts by incorporating visibility thresholds into the quantization process.
  • To ensure JPEG2000 Part-I compliance for the generated codestreams.

Main Methods:

  • Quantization of subband signals using experimentally determined visibility thresholds (VTs).
  • Statistical modeling of quantization distortion based on wavelet coefficients and dead-zone quantizers.
  • Adjustment of VTs using a visual masking model for locally changing backgrounds.
  • Determination of minimum coding passes for desired visual quality.

Main Results:

  • Successfully encoded color images in a visually lossless manner using JPEG2000.
  • Quantization artifacts were effectively hidden by employing calculated visibility thresholds.
  • The method achieved visually lossless quality under specified viewing conditions.
  • Generated codestreams are fully compliant with JPEG2000 Part-I standards.

Conclusions:

  • The proposed method offers an effective approach to visually lossless image compression.
  • Utilizing visibility thresholds enhances compression efficiency without compromising perceived image quality.
  • This technique is suitable for applications requiring high-quality image compression with reduced file sizes.