Iterated denoising and fusion to improve the image quality of wavelet-based coding

Beibei Song

doi:10.1117/12.896066

8 July 2011 Iterated denoising and fusion to improve the image quality of wavelet-based coding

Beibei Song

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800910 (2011) https://doi.org/10.1117/12.896066
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

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.

Citation Download Citation

Beibei Song "Iterated denoising and fusion to improve the image quality of wavelet-based coding", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800910 (8 July 2011); https://doi.org/10.1117/12.896066

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