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

Motion-JPEG2000 codec compensated for interlaced scanning videos.

Takuma Ishida1, Shogo Muramatsu, Hisakazu Kikuchi

  • 1Department of Electrical and Electronics Engineering, Faculty of Engineering, Niigata Univeristy, Niigata 950-2181, Japan. takumaro@telecom0.eng.niigata-u.ac.jp

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 24, 2005
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

Comparison of the Interference Effects on Somatosensory Evoked Potential from Tonic, Burst, and High-dose Spinal Cord Stimulations.

Neurologia medico-chirurgica·2022
Same author

Deep Neural Network for Early Image Diagnosis of Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis.

The journal of allergy and clinical immunology. In practice·2021
Same author

Characterisation of the static offset in the travelling wave in the cochlear basal turn.

Pflugers Archiv : European journal of physiology·2020
Same author

<i>In vivo</i> tomographic visualization of intracochlear vibration using a supercontinuum multifrequency-swept optical coherence microscope.

Biomedical optics express·2019
Same author

Multifrequency-swept optical coherence microscopy for highspeed full-field tomographic vibrometry in biological tissues.

Biomedical optics express·2017
Same author

In-vitro cell quantification method based on depth dependent analysis of brain tissue microscopic images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2012
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

This study introduces an invertible deinterlacing method for Motion-JPEG2000 (MJP2) video coding. The technique effectively reduces artifacts and enhances signal-to-noise ratio scalability for improved video quality at various bitrates.

Area of Science:

  • Digital video processing
  • Image compression standards

Background:

  • Interlaced video scanning introduces comb-tooth artifacts, degrading the quality of frame-based codecs like Motion-JPEG2000 (MJP2).
  • Previous invertible deinterlacing methods preserve sampling density and enable quality recovery but require seamless integration with codecs.

Purpose of the Study:

  • To present an implementation scheme for integrating invertible deinterlacing with Motion-JPEG2000 (MJP2) coding.
  • To enhance the signal-to-noise ratio scalability of MJP2 by suppressing artifacts at low bitrates and enabling quality recovery at high bitrates.

Main Methods:

  • Developed an invertible deinterlacing technique that suppresses comb-tooth artifacts.
  • Integrated the deinterlacer into the discrete wavelet transform (DWT) used in MJP2.
  • Implemented an energy gain factor compensation for optimal rate-distortion performance.

Related Experiment Videos

Main Results:

  • The proposed system effectively suppresses comb-tooth artifacts in MJP2.
  • Quality recovery is achieved through the inverse process within the standard bitstream format.
  • Simulations showed over 2.0 dB improvement in peak signal-to-noise ratio (PSNR) for grayscale sequences at 2.0 bpp.

Conclusions:

  • The invertible deinterlacer can be embedded within MJP2's DWT for enhanced compression.
  • The system provides high-quality recovery for MJP2 codecs, improving rate-distortion characteristics.
  • This integration offers a robust solution for artifact suppression and quality enhancement in scalable video coding.