Loss functions for image restoration with neural networks
… In our work, we investigate the impact of different loss function layers for image processing.
Consider the case of a network that performs denoising and demosaicking jointly. The insets …
Consider the case of a network that performs denoising and demosaicking jointly. The insets …
New edge-directed interpolation
X Li, MT Orchard - IEEE transactions on image processing, 2001 - ieeexplore.ieee.org
… Geometric regularity has important effects on the visual quality of a natural image such as …
becomes paramount in many image processing tasks. In the scenario of image interpolation, …
becomes paramount in many image processing tasks. In the scenario of image interpolation, …
Image denoising using scale mixtures of Gaussians in the wavelet domain
… image modeling, where the complexity of local structures is not well described by Gaussian
densities. The power of statistical image … image processing tasks by decomposing the image …
densities. The power of statistical image … image processing tasks by decomposing the image …
Adaptive histogram equalization and its variations
SM Pizer, EP Amburn, JD Austin, R Cromartie… - … , and image processing, 1987 - Elsevier
… Image processing devices with a feedback architecture, such as those manufactured by
Comtal, DeAnza, and Vicom, can do simple operations on one or more whole images in a frame …
Comtal, DeAnza, and Vicom, can do simple operations on one or more whole images in a frame …
A new TwIST: Two-step iterative shrinkage/thresholding algorithms for image restoration
JM Bioucas-Dias… - … on Image processing, 2007 - ieeexplore.ieee.org
… His scientific interests include signal and image processing, pattern recognition, optimization…
His scientific interests include image processing and analysis, computer vision, statistical …
His scientific interests include image processing and analysis, computer vision, statistical …
[書籍 ][B] Morphological image analysis: principles and applications
P Soille - 1999 - Springer
… As its first edition, this book should appeal … to practitioners of image processing, who …
image processing applications. … It will be of most benefit to engineers and image processing …
image processing applications. … It will be of most benefit to engineers and image processing …
Snakes, shapes, and gradient vector flow
… computer vision and image processing applications, particularly to locate object … image
edges.We can use any gray-level or binary edge map defined in the image processing …
edges.We can use any gray-level or binary edge map defined in the image processing …
Secure spread spectrum watermarking for multimedia
IJ Cox, J Kilian, FT Leighton… - … on image processing, 1997 - ieeexplore.ieee.org
… the watermarked image to a series of image processing and collusion style attacks. These
experiments are preliminary, but show resilience to certain types of common processing. Of …
experiments are preliminary, but show resilience to certain types of common processing. Of …
A multiscale retinex for bridging the gap between color images and the human observation of scenes
DJ Jobson, Z Rahman… - … on Image processing, 1997 - ieeexplore.ieee.org
… of the MSRCR to other image enhancement methods, we have done some preliminary tests
of the MSRCR relative to the simpler image enhancement methods—histogram equalization…
of the MSRCR relative to the simpler image enhancement methods—histogram equalization…
Wavelets: algorithms & applications
Y Meyer - Philadelphia: SIAM (Society for Industrial and …, 1993 - ui.adsabs.harvard.edu
… processing, and has been applied to such diverse phenomena as numerical image
processing, … Attention is given to pyramid algorithms for numerical image processing, time-frequency …
processing, … Attention is given to pyramid algorithms for numerical image processing, time-frequency …