Software

  • Demosaicking

Ipol  demo and C++ codes, of demosaicking algorithm implementing:  “A. Buades, B. Coll, J.M. Morel, C. Sbert Self similarity driven demosaicking, IEEE Transactions on Image Processing, Vol. 18(6), pp:1192-1202, 2009.”

Soon Ipol  demo and C++ codes,of demosaicking algorithm implementing:  “Duran, J., & Buades, A. (2014). Self-Similarity and Spectral Correlation Adaptive Algorithm for Color Demosaicking. Image Processing, IEEE Transactions on, 23(9), 4031-4040.”

  • Satellite imaging Pansharpenning.

Ipol  demo and C++ codes, implementing:  “Duran, J., Buades, A., Coll, B., & Sbert, C. (2014). A nonlocal variational model for pansharpening image fusion. SIAM Journal on Imaging Sciences, 7(2), 761.”

  • Noise estimation and denoising

Ipol  demo and C++ codes, implementing NL-means denoising algorithm:  “Buades, A., Coll, B., & Morel, J. M. (2005, June). A non-local algorithm for image denoising. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on (Vol. 2, pp. 60-65). IEEE.”

Ipol  demo and C++ codes, implementing NL-Bayes denoising algorithm:  “Lebrun, M., Buades, A., & Morel, J. M. (2013). A nonlocal bayesian image denoising algorithm. SIAM Journal on Imaging Sciences, 6(3), 1665-1688.”

Ipol  demo and C++ codes, implementing signal dependent noise estimation algorithm:  “Colom, M., Buades, A., & Morel, J. M. (2014). Nonparametric noise estimation method for raw images. JOSA A, 31(4), 863-871.”

  • Cartoon plus texture decomposition

Ipol  demo and C++ codes, implementing NL-Bayes denoising algorithm:  “Buades, A., Le, T. M., Morel, J. M., & Vese, L. (2010). Fast cartoon+ texture image filters. Image Processing, IEEE Transactions on, 19(8), 1978-1986.”

  • Color Cube processing

Ipol  demo and C++ codes, implementing filtering and visualization of color cube:  “Buades, A., Lisani, J. L., & Morel, J. M. (2011). Dimensionality of color space in natural images. JOSA A, 28(2), 203-209.”

  • Graphics filtering/rendering

Ipol  demo and C++ codes, implementing filtering and visualization of color cube:  “Delbracio, M., Musé, P., Buades, A., Chauvier, J., Phelps, N., & Morel, J. M. (2014). Boosting Monte Carlo rendering by ray histogram fusion. ACM Transactions on Graphics (TOG), 33(1), 8.”

  • Paintings restoration and visualization

Ipol  demo and C++ codes, implementing filtering and visualization of color cube:  “Haro, G., Buades, A., & Morel, J. M. (2012). Photographing paintings by image fusion. SIAM Journal on Imaging Sciences, 5(3), 1055.”

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