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No-reference method for image effective bandwidth estimation
Barak Fishbain
*
,
Leonid Yaroslavsky
, Lanir Ideses
, Frédénque Rotiet-Crété
*
Corresponding author for this work
Interdisciplinary Engineering
Tel Aviv University
STMicroelectronics
Research output
:
Contribution to journal
›
Conference article
›
peer-review
6
Scopus citations
Overview
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Dive into the research topics of 'No-reference method for image effective bandwidth estimation'. Together they form a unique fingerprint.
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Keyphrases
Bandwidth Estimation
100%
Blur Measurement
33%
Blur Metric
100%
Blurriness Metric
33%
Blurring Effect
33%
Compression Quality
33%
Compression Rate
33%
Corresponding Measures
33%
Design Parameters
33%
Effective Bandwidth
100%
Efficient Bandwidth
33%
Evaluation Measurement
33%
Image Blur
66%
Image Compression
33%
Image Evaluation
33%
Image Features
33%
Image Processing Applications
33%
Image Processing Techniques
33%
Image Quality
33%
Image Sampling
33%
Image Size
33%
Image-based
66%
Imaging System Design
33%
Intensity Variation
33%
JPEG Encoder
33%
Low-pass Filtering
33%
Measurement Results
33%
Metric Methods
66%
Neighboring pixels
33%
No-reference
33%
No-reference Method
100%
Numerical Evaluation
33%
Perceptual Image Quality
33%
Pseudorandom
33%
Quality Measures
33%
Quantitative Image
33%
Random Image
33%
Sampling Rate
33%
Uniform Spectrum
33%
Visual Evaluation
33%
Engineering
Base Band
66%
Compressed Image
33%
Design Parameter
33%
Effective Bandwidth
100%
Fundamental Component
33%
Good Correlation
33%
Image Processing
33%
Imaging Systems
33%
Input Image
33%
Metrics
100%
Neighboring Pixel
33%
Numerical Evaluation
33%
Optical Spectrum
33%
Sampling Rate
33%
Test Image
33%
Computer Science
Compressed Image
33%
Compression Quality
33%
Compression Rate
33%
Direct Association
33%
Effective Bandwidth
100%
Fundamental Component
33%
image feature
33%
Image Processing
33%
Image Quality
33%
Image Sampling Rate
33%
Neighboring Pixel
33%
Optical Spectrum
33%
Perceptual Image
33%
Physics
Image Processing
100%