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Example-based super-resolution
- IEEE COMPUT. GRAPH. APPL
, 2001
"... The Problem: Pixel representations for images do not have resolution independence. When we zoom into a bitmapped image, we get a blurred image. Figure 1 shows the problem for a teapot image, rich with real-world detail. We know the teapot’s features should remain sharp as we zoom in on them, yet sta ..."
Abstract
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Cited by 349 (5 self)
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of pixel-based representations is an important task for image-based rendering. Our example-based super-resolution algorithm yields Fig. 1 (h, i). Previous Work: Researchers have long studied image interpolation, although only recently using machine learning or sampling approaches, which offer much power
Super-resolution _____________________ Super-Resolution
, 2002
"... La netteté d'une image est un paramètre important du traitement du signal. En effet, l'interprétation d'une image est conditionnée par la possibilité d'en extraire l'information qu'elle contient. Plus une image est nette, et plus on pourra y décéler de détails. Si elle ..."
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détails absents de l'image de départ, mais que l'on voudrait voir apparaître après un zoom. Cependant il est envisageable de deviner cette information manquante. Cela permettrait d'augmenter la résolution d'origine d'une image: c'est la super-résolution. Je me suis intéressé
Limits on super-resolution and how to break them
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2002
"... AbstractÐNearly all super-resolution algorithms are based on the fundamental constraints that the super-resolution image should generate the low resolution input images when appropriately warped and down-sampled to model the image formation process. �These reconstruction constraints are normally com ..."
Abstract
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Cited by 421 (7 self)
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AbstractÐNearly all super-resolution algorithms are based on the fundamental constraints that the super-resolution image should generate the low resolution input images when appropriately warped and down-sampled to model the image formation process. �These reconstruction constraints are normally
Advances and Challenges in Super-Resolution
- International Journal of Imaging Systems and Technology
, 2004
"... Super-resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames. This paper reviews a variety of super-resolution methods proposed in the last twenty years, and provides some insight to, and a summary of, our recent contributions to the gen ..."
Abstract
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Cited by 101 (16 self)
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Super-resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames. This paper reviews a variety of super-resolution methods proposed in the last twenty years, and provides some insight to, and a summary of, our recent contributions
Super-resolution
, 2011
"... Abstract. Many computer vision and computational photography applications essentially solve an image enhancement problem. The image has been deteriorated by a specific noise process, such as aberrations from camera optics and compression artifacts, that we would like to remove. We describe a framewo ..."
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of our approach by applying it to example enhancement applications including singleimage super-resolution, as well as artifact removal in JPEG- and JPEG 2000-encoded images. 1
Robust Super-Resolution
- in In Proc. of the IEEE Workshop on Applications of Computer Vision
, 2001
"... A robust approach for super resolution is presented, which is especially valuable in the presence of outliers. Such outliers may be due to motion erros, inaccurate blur models, noise, moving objects, motion blur etc. This tobusiness is needed since super-resolution methods are very sensitive to such ..."
Abstract
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Cited by 92 (0 self)
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A robust approach for super resolution is presented, which is especially valuable in the presence of outliers. Such outliers may be due to motion erros, inaccurate blur models, noise, moving objects, motion blur etc. This tobusiness is needed since super-resolution methods are very sensitive
super-resolution
, 2014
"... On a link between kernel mean maps and Fraunhofer diffraction, with an application to ..."
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On a link between kernel mean maps and Fraunhofer diffraction, with an application to
Super-Resolution Optical Flow
, 1999
"... Existing approaches to super-resolution are not applicable to videos of faces because faces are non-planar, non-rigid, non-lambertian, and are subject to self occlusion. We present super-resolution optical flow as a solution to these problems. Super-resolution optical flow takes as input a conventio ..."
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Cited by 32 (1 self)
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Existing approaches to super-resolution are not applicable to videos of faces because faces are non-planar, non-rigid, non-lambertian, and are subject to self occlusion. We present super-resolution optical flow as a solution to these problems. Super-resolution optical flow takes as input a
Results 1 - 10
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