JOURNAL ARTICLE

Noise estimation and filtering using block-based singular value decomposition

Κωνσταντίνος ΚωνσταντινίδηςB. K. NatarajanGregory S. Yovanof

Year: 1997 Journal:   IEEE Transactions on Image Processing Vol: 6 (3)Pages: 479-483   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Preprocessing of image and video sequences with spatial filtering techniques usually improves the image quality and compressibility. We present a block-based, nonlinear filtering algorithm based on singular value decomposition and compression-based filtering. Experiments show that the proposed filter preserves edge details and can significantly improve the compression performance.

Keywords:
Singular value decomposition Preprocessor Computer science Data compression Block (permutation group theory) Noise (video) Filter (signal processing) Nonlinear system Algorithm Median filter Image compression Artificial intelligence Nonlinear filter Compression (physics) Computer vision Mathematics Pattern recognition (psychology) Image processing Image (mathematics) Filter design

Metrics

168
Cited By
1.32
FWCI (Field Weighted Citation Impact)
9
Refs
0.83
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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