Priyam Chatterjee

According to our database1, Priyam Chatterjee authored at least 17 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Burst Denoising via Temporally Shifted Wavelet Transforms.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016
Adaptive Geometric Calibration Correction for Camera Array.
Proceedings of the Image Quality and System Performance XIII, Electronic Imaging 2016, 2016

2013
<i>PiCam</i>: an ultra-thin high performance monolithic camera array.
ACM Trans. Graph., 2013

2012
Patch-Based Near-Optimal Image Denoising.
IEEE Trans. Image Process., 2012

2011
Practical Bounds on Image Denoising: From Estimation to Information.
IEEE Trans. Image Process., 2011

Patch-based locally optimal denoising.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Noise suppression in low-light images through joint denoising and demosaicing.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Is Denoising Dead?
IEEE Trans. Image Process., 2010

Learning denoising bounds for noisy images.
Proceedings of the International Conference on Image Processing, 2010

Fundamental limits of image denoising: Are we there yet?
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Clustering-Based Denoising With Locally Learned Dictionaries.
IEEE Trans. Image Process., 2009

Application Of Papoulis-Gerchberg Method In Image Super-Resolution and Inpainting.
Comput. J., 2009

Image denoising using locally learned dictionaries.
Proceedings of the Computational Imaging VII, 2009

2008
A generalization of non-local means via kernel regression.
Proceedings of the Computational Imaging VI, 2008

2007
Single frame image super-resolution: should we process locally or globally?
Multidimens. Syst. Signal Process., 2007

Super-Resolution Using Sub-band Constrained Total Variation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007


  Loading...