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An efficient post-processing adaptive filtering technique to rectifying the flickering effects
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 5, p e0250959 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science, 2021.
-
Abstract
- Compression at a very low bit rate(≤0.5bpp) causes degradation in video frames with standard decoding algorithms like H.261, H.262, H.264, and MPEG-1 and MPEG-4, which itself produces lots of artifacts. This paper focuses on an efficient pre-and post-processing technique (PP-AFT) to address and rectify the problems of quantization error, ringing, blocking artifact, and flickering effect, which significantly degrade the visual quality of video frames. The PP-AFT method differentiates the blocked images or frames using activity function into different regions and developed adaptive filters as per the classified region. The designed process also introduces an adaptive flicker extraction and removal method and a 2-D filter to remove ringing effects in edge regions. The PP-AFT technique is implemented on various videos, and results are compared with different existing techniques using performance metrics like PSNR-B, MSSIM, and GBIM. Simulation results show significant improvement in the subjective quality of different video frames. The proposed method outperforms state-of-the-art de-blocking methods in terms of PSNR-B with average value lying between (0.7–1.9db) while (35.83–47.7%) reduced average GBIM keeping MSSIM values very close to the original sequence statistically 0.978.
- Subjects :
- Computer science
Physiology
Visual System
Image Processing
Sensory Physiology
Signal-To-Noise Ratio
Blocking (statistics)
Electronics Engineering
Signal Decoders
Computer vision
Data Management
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Sensory Systems
Adaptive filter
Physical Sciences
Medicine
Engineering and Technology
Artifacts
Decoding methods
Algorithms
Degradation (telecommunications)
Research Article
Computer and Information Sciences
Imaging Techniques
Science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Video Compression
Research and Analysis Methods
Quantization
Humans
Computer Simulation
Signal to Noise Ratio
Artifact (error)
business.industry
Flicker
Biology and Life Sciences
Ringing
Data Compression
Image Enhancement
Filter (video)
Signal Processing
Artificial intelligence
Electronics
business
Mathematics
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....18a8c8d37ba6b948773f3a36a50d8028