“2D denoising factor for high dynamic range imaging” by Zhu, Li, Rahardja and Franti
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Title:
- 2D denoising factor for high dynamic range imaging
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Abstract:
The presence of noise in a high dynamic range (HDR) synthesis poses a serious degradation to the HDR image especially when the input images are captured at low light condition or with high sensitivity settings. Thus, a two-dimensional (2D) denoising factor is proposed to assign higher weight to a pixel with less noise based on both pixel luminance and image exposure. This pure temporal denoising factor is controlled by two key coefficients and can preserves edge and fine detail without blurring artifact. In addition, both memory and computation time are significantly reduced compare to other denoising methods.
References:
1. Debevec, P. E. and Malik, J. 1997. Rendering high dynamic range radiance maps from photographs. In Proceedings of SIGGRAPH 1997, 369–378.
2. Mitsunaga T. and Nayar S. K. 1999. Radiometric Self Calibration. IEEE Conf. on Computer Vision and Pattern Recognition 1999, 374–380.
3. Akyuz A. O. and Reinhard E. 2007. Noise Reduction in High Dynamic Range Imaging. Journal of Visual Communication and Image Representation 2007, 18(5), 366–376.
4. Yao W., Li Z. G., Rahardja S., Yao S. S., and Zheng J. H. 2010. Half-quadratic Regularization Based De-noising for High Dynamic Range Image Ssynthesis. IEEE Int. Conf. on Acoustics Speech and Signal Processing 2010, 18(5), 1370–1373.
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