
Proceedings Paper
Iterated denoising and fusion to improve the image quality of wavelet-based codingFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
An iterated denoising and fusion method is presented to improve the image quality of wavelet-based coding. Firstly,
iterated image denoising is used to reduce ringing and staircase noise along curving edges and improve edge regularity.
Then, we adopt wavelet fusion method to enhance image edges, protect non-edge regions and decrease blurring artifacts
during the process of denoising. Experimental results have shown that the proposed scheme is capable of improving both
the subjective and the objective performance of wavelet decoders, such as JPEG2000 and SPIHT.
Paper Details
Date Published: 8 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800910 (8 July 2011); doi: 10.1117/12.896066
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800910 (8 July 2011); doi: 10.1117/12.896066
Show Author Affiliations
Beibei Song, Chang'an Univ. (China)
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
© SPIE. Terms of Use
