Search Results for author: Magauiya Zhussip

Found 5 papers, 2 papers with code

Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images

1 code implementation NeurIPS 2019 Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun

Here, we propose an extended SURE (eSURE) to train deep denoisers with correlated pairs of noise realizations per image and applied it to the case with two uncorrelated realizations per image to achieve better performance than SURE based method and comparable results to Noise2Noise.

Denoising Image Restoration

Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior

no code implementations CVPR 2019 Magauiya Zhussip, Shakarim Soltanayev, Se Young Chun

Our proposed methods were able to train deep learning based image denoisers from undersampled measurements without ground truth images and without image priors, and to recover images with state-of-the-art qualities from undersampled data.

Compressive Sensing

Cannot find the paper you are looking for? You can Submit a new open access paper.