This set of codes is a Matlab implementation of PURE-LET image deconvolution algorithms.
Authors: Jizhou Li, Florian Luisier and Thierry Blu
References:
- [1] J. Li, F. Luisier and T. Blu, PURE-LET image deconvolution, IEEE Trans. Image Process., vol. 27, no. 1, pp. 92-105, 2018.
- [2] J. Li, F. Luisier and T. Blu, Deconvolution of Poissonian images with the PURE-LET approach, 2016 23rd Proc. IEEE Int. Conf. on Image Processing (ICIP'16), Phoenix, Arizona, USA, 2016, pp.2708-2712.
- [3] J. Li, F. Luisier and T. Blu, PURE-LET deconvolution of 3D fluorescence microscopy images, 2017 14th Proc. IEEE Int. Symp. Biomed. Imaging (ISBI'17), Melbourne, Australia, 2017, pp. 723-727.
Acquisition model: input = alpha x Poisson(H x original/alpha) + Gaussian(0, nsigma^2);
Point-spread function (PSF): H
Noise levels:
- alpha : scaling factor of Poisson noise
- nsigma: noise std of additive Gaussian noise
This version implements the PURE-LET non-blind deconvolution algorithm, both the image and PSF data are needed.
directly run 'demo.m' (more details inside)
Jizhou Li ([email protected]), The Chinese University of Hong Kong.
Last updated: 23 Aug, 2018