DVO Clarity - A noise reducer equipped with noise characteristics analysis for automated noise reduction, new motion estimation engine and a spatio-temporal filter.
What does ME stand for?
ME stands for Motion Estimation (part of temporal redundancy coding technique used in digital television)
This definition appears very frequently and is found in the following Acronym Finder categories:
- Information technology (IT) and computers
See other definitions of ME
We have 50 other meanings of ME in our Acronym Attic
- Modern English
- Moessbauer Effect
- Molecular Electronics
- Molecular Emission
- Moneda Extranjera (Spanish: Foreign Currency)
- Moniteur-Educateur (French: Teacher for Children with Difficulties)
- Month Ending
- Montreal Exchange
- Moral Education (school subject)
- Morristown and Erie Railway Incorporated
Samples in periodicals archive:
95 Hardcover Electrical engineering TA1637 For engineers, scientists, and graduate students in image processing courses, Milanfar compiles 14 chapters that introduce the field of super-resolution imaging, including its history, locally adaptive processing methods, methods for explicit motion estimation, deblurring, building robustness in the reconstruction process, and Bayesian statistical approaches to addressing the motion between frames, the blur kernel, and the high-resolution image.
Specific topics covered include a tracing algorithm for the intersection of parametric surfaces and implicit surfaces, detective DSS based on content recognition technology, commodity classification hierarchies, error resilient transcoding for wireless video transmission, and an improved motion estimation scheme for side information in distributed video coding.
Articles also cover the vibration and acoustics of tissue characterization, including acoustic response of the human arteries, a non-invasive methods for measuring local viscoelasticity of arterial vessels, tissue harmonic motion estimation for tissue characteristics using ultrasound and the Kalman filter, characterization of tissue viscoelasticity from shear wave speed dispersion, and bone characterization.
They begin by looking at the problem of motion estimation from biological, algorithmic, and digital perspectives, then describe an algorithm that fits with the motion processing model and hardware and software constraints, and detail implementation of the algorithm in digital hardware.