Loss Functions for Neural Networks for Image Processing

Backpropagation applied to handwritten zip code recognition

LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: · 1989

Earlier work this paper cites.

Multiscale structural similarity for image quality assessment

Wang, Z., Simoncelli, E.P., Bovik, A.C.: · 2003

Earlier work this paper cites.

Image quality assessment: from error visibility to structural similarity

Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: · 2004

Earlier work this paper cites.

Visibility of noise in natural images

Winkler, S., Susstrunk, S.: · 2004

Earlier work this paper cites.

Color demosaicking via directional linear minimum mean square-error estimation

Zhang, D., Wu, X.: · 2005

Earlier work this paper cites.

Image information and visual quality

Sheikh, H., Bovik, A.: · 2006

Earlier work this paper cites.

Natural image denoising with convolutional networks

Jain, V., Seung, S.: · 2009

Earlier work this paper cites.

Mean squared error: Love it or leave it? A new look at signal fidelity measures

Wang, Z., Bovik, A.: · 2009

Earlier work this paper cites.

Clipped noisy images: Heteroskedastic modeling and practical denoising

Foi, A.: · 2009

Earlier work this paper cites.

Cross-color BM3D filtering of noisy raw data

Danielyan, A., Vehvilainen, M., Foi, A., Katkovnik, V., Egiazarian, K.: · 2009

Earlier work this paper cites.

Deconvolutional networks

Zeiler, M., Krishnan, D., Taylor, G., Fergus, R.: · 2010

Cited alongside, same era.

Structural similarity-based approximation of signals and images using orthogonal bases

Brunet, D., Vrscay, E.R., Wang, Z.: · 2010

Cited alongside, same era.

Information content weighting for perceptual image quality assessment

Wang, Z., Li, Q.: · 2011

Cited alongside, same era.

FSIM: A feature similarity index for image quality assessment

Zhang, L., Zhang, D., Mou, X., Zhang, D.: · 2011

Cited alongside, same era.

Learning photographic global tonal adjustment with a database of input / output image pairs

Bychkovsky, V., Paris, S., Chan, E., Durand, F.: · 2011

Cited alongside, same era.

Imagenet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012

Inverse acoustic and electromagnetic scattering theory. Volume 93

Colton, D., Kress, R.: · 2013

Later among the works it cites.

Deep convolutional neural network for image deconvolution

Xu, L., Ren, J.S., Liu, C., Jia, J.: · 2014

Later among the works it cites.

Learning a deep convolutional network for image super-resolution

Dong, C., Loy, C., He, K., Tang, X.: · 2014

Later among the works it cites.

A multilayer neural network for image demosaicking

Wang, Y.Q.: · 2014

Later among the works it cites.

Caffe: Convolutional architecture for fast feature embedding

Original

Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014

Later among the works it cites.

Gradient magnitude similarity deviation: A highly efficient perceptual image quality index