Infrared image denoising based on stationary wavelet transform

Zhihong Xiao; Jiale Shi; Zongqi Guan

doi:10.1117/12.853569

26 February 2010 Infrared image denoising based on stationary wavelet transform

Zhihong Xiao, Jiale Shi, Zongqi Guan

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75463B (2010) https://doi.org/10.1117/12.853569
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

Firstly, infrared image is decomposited using stationary wavelet transform, it is proposed based on stationary wavelet transform with Interscale and Intrascale Dependencies for infrared image denoising. Then the minimum mean square-error estimation is applyed to estimated coefficient. The wavelet coefficients are revised using the correlations between coefficients at the same scale. The denoised image is obtained through inverse wavalet transform. The experimental results show the infrared image can be denoised better than the method neglecting the correlations between Intrascales and have a well SNR as well as the visual quality.

Citation Download Citation

Zhihong Xiao, Jiale Shi, and Zongqi Guan "Infrared image denoising based on stationary wavelet transform", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463B (26 February 2010); https://doi.org/10.1117/12.853569

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