SAR Image Compression by Using Neural Network in Wavelet Domain

Min Li; Xiao Ying Zhang; Lin Ju Lu

doi:10.4028/www.scientific.net/AMR.760-762.1599

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762SAR Image Compression by Using Neural Network in...

SAR Image Compression by Using Neural Network in Wavelet Domain

Abstract:

According to the characteristic of SAR image containing the multiplicative speckle, a kind of neural network image compression algorithm in wavelet domain was proposed. Wavelet transform can well reflect the characteristics of human vision, but the neural network has self-learning, adaptive, robust, highly parallel processing ability and generalization ability. The wavelet and neural network together in SAR image compression compared with other encoding methods, has obvious advantage. Compared with block-DCT algorithm and sub-band DWT method, this algorithm preserves more advantage in speckle reduction and image details keeping, the compressed image with visual features the best.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1599-1603

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1599

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Online since:

September 2013

Authors:

Min Li, Xiao Ying Zhang, Lin Ju Lu

Keywords:

Image Compression, Neural Network (NN), SAR Image, Wavelet Transform (WT)

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