Title :
Noise estimation and filtering using block-based singular value decomposition
Author :
Konstantinides, K. ; Natarajan, Balasubramaniam ; Yovanof, G.S.
Author_Institution :
Hewlett-Packard Co., Palo Alto, CA
fDate :
3/1/1997 12:00:00 AM
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 :
data compression; filtering theory; image sequences; noise; nonlinear filters; singular value decomposition; spatial filters; video signal processing; block based singular value decomposition; compression based filtering; compression performance; edge details; experiments; image compression; image quality; image sequences preprocessing; noise estimation; noise filtering; nonlinear filtering algorithm; spatial filtering; video sequences preprocessing; Additive noise; Filtering; Image coding; Image sequences; Matrix decomposition; Noise reduction; Nonlinear filters; Singular value decomposition; Video compression; Video sequences;
Journal_Title :
Image Processing, IEEE Transactions on
