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In surveillance, monitoring and tactical reconnaissance, gathering the right visual information from a dynamic environment and accurately processing such data are essential ingredients to making informed decisions which determines the success of an operation.
Adaptive histogram equalization and its variations
Pizer, Stephen M, Amburn, E Philip, Austin, John D, Cromartie, Robert, Geselowitz, Ari, Greer, Trey, ter Haar Romeny, Bart, Zimmerman, John B, and Zuiderveld, Karel · 1987
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Color image enhancement through 3-d histogram equalization
Trahanias, PE and Venetsanopoulos, AN · 1992
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Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms
Pisano, Etta, Zong, Shuquan, Hemminger, Bradley, DeLuce, Maria, Johnston, Eugene, Muller, Keith, Braeuning, Patricia, and Pizer, Stephen · 1998
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Tri-state median filter for image denoising
Chen, Tao, Ma, Kai-Kuang, and Chen, Li-Hui · 1999
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Digital image Processing
Gonzalex, Rafael and Woods, Richard · 2001
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A simple and effective histogram equalization approach to image enhancement
Cheng, HD and Shi, XJ · 2004
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Image quality assessment: From error visibility to structural similarity
Z.Wang, Bovik, A., H.Sheik, and E.Simoncelli · 2004
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Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
Chan, Raymond H, Ho, Chung-Wa, and Nikolova, Mila · 2005
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Image denoising via sparse and redundant representations over learned dictionaries
Elad, Michael and Aharon, Michal · 2006
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Image denoising by sparse 3-d transform-domain collaborative filtering
Dabov, Kostadin, Foi, Alessandro, Katkovnik, Vladimir, and Egiazarian, Karen · 2007
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Image restoration by sparse 3d transform-domain collaborative filtering
Dabov, Kostadin, Foi, Alessandro, Katkovnik, Vladimir, and Egiazarian, Karen · 2008
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Natural image denoising with convolutional networks
Jain, Viren and Seung, Sebastian · 2008
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Extracting and composing robust features with denoising autoencoders
Vincent, Pascal, Larochelle, Hugo, and Bengio, Yoshua · 2008
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Bm3d image denoising with shape-adaptive principal component analysis
Dabov, Kostadin, Foi, Alessandro, Katkovnik, Vladimir, and Egiazarian, Karen · 2009
Cited alongside, same era.
Theano: a CPU and GPU math expression compiler
Bergstra, James, Breuleux, Olivier, Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Desjardins, Guillaume, Turian, Joseph, Warde-Farley, David, and Bengio, Yoshua · 2010
Cited alongside, same era.
Survey of contrast enhancement techniques based on histogram equalization
Theano: new features and speed improvements
Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Bergstra, James, Goodfellow, Ian J., Bergeron, Arnaud, Bouchard, Nicolas, and Bengio, Yoshua · 2012
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Image denoising: Can plain neural networks compete with bm3d?
Burger, Harold C, Schuler, Christian J, and Harmeling, Stefan · 2012
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
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Image denoising and inpainting with deep neural networks
Xie, Junyuan, Xu, Linli, and Chen, Enhong · 2012
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Adaptive multi-column deep neural networks with application to robust image denoising
Agostinelli, Forest, Anderson, Michael R, and Lee, Honglak · 2013
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Indoor semantic segmentation using depth information
Couprie, C., Farabet, C., Najman, L., and LeCun, Y · 2013
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Kaur, Manpreet, Kaur, Jasdeep, and Kaur, Jappreet · 2011
Cited alongside, same era.
Histogram equalization
Krutsch, Robert and Tenorlo, David · 2011
Cited alongside, same era.
Compression ratio and peak signal to noise ratio in grayscale image compression using wavelet
Santoso, Albertus, Nugroho, Edi, Suparta, Bayu, and Hidayat, Risanuri · 2011
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A linear programming approach for optimal contrast-tone mapping
Wu, Xiaolin · 2011
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Automatic contrast enhancement of low-light images based on local statistics of wavelet coefficients
Loza, Artur, Bull, David, Hill, Paul, and Achim, Alin · 2013
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Schuler, Christian, Hirsh, Michael, Harmeling, Stefan, and Scholkpf, Hernhard · 2014
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Occlusion edge detection in rgbd frames using deep convolutional neural networks
Sarkar, S., Venugopalan, V., Reddy, K., Ryde, J., Giering, M., and Jaitly, N · 2015
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