Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Mauricio Delbracio"'
Autor:
Ives Rey Otero, Mauricio Delbracio
Publikováno v:
Image Processing On Line, Vol 6, Pp 8-26 (2016)
Gaussian convolution is one of the most important algorithms in image processing. The present work focuses on the computation of the Gaussian scale-space, a family of increasingly blurred images, responsible, among other things, for the scale-invaria
Externí odkaz:
https://doaj.org/article/6d2c7fef87f94113a71fb048abf0ce9f
Publikováno v:
Image Processing On Line, Vol 5, Pp 55-72 (2015)
This paper details the recently introduced Ray Histogram Fusion (RHF) filter for accelerating Monte Carlo renderers [M. Delbracio et al., Boosting Monte Carlo Rendering by Ray Histogram Fusion, ACM Transactions on Graphics, 33 (2014)]. In this filter
Externí odkaz:
https://doaj.org/article/59312760ae5840828b65a4539615d2bf
Autor:
Ives Rey Otero, Mauricio Delbracio
Publikováno v:
Image Processing On Line, Vol 4, Pp 370-396 (2014)
This article presents a detailed description and implementation of the Scale Invariant FeatureTransform (SIFT), a popular image matching algorithm. This work contributes to a detaileddissection of SIFT’s complex chain of transformations and to a ca
Externí odkaz:
https://doaj.org/article/834b4643b2a34f6fa85338d3c440dade
Publikováno v:
Image Processing On Line, Vol 3, Pp 242-251 (2013)
In most typical digital cameras, even high-end digital single lens reflex ones (DSLR), the acquired images are sampled at rates below the Nyquist critical rate, causing aliasing effects. In this work we describe a new algorithm for the estimation of
Externí odkaz:
https://doaj.org/article/cef39696bde6448a8872647a254583e2
Publikováno v:
Image Processing On Line, Vol 2, Pp 8-21 (2012)
Externí odkaz:
https://doaj.org/article/505fa2a286f24e8bba2b8c6c620cd558
Publikováno v:
Annual Review of Vision Science. 7:571-604
The first mobile camera phone was sold only 20 years ago, when taking pictures with one's phone was an oddity, and sharing pictures online was unheard of. Today, the smartphone is more camera than phone. How did this happen? This transformation was e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d8573777b7719e46aee3a264bba7ae6
https://doi.org/10.1146/annurev-vision-093019-115521
https://doi.org/10.1146/annurev-vision-093019-115521
Autor:
Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar
Image deblurring is an ill-posed problem with multiple plausible solutions for a given input image. However, most existing methods produce a deterministic estimate of the clean image and are trained to minimize pixel-level distortion. These metrics a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41bdc7caf5b41c370b3c9d2b401bf330
http://arxiv.org/abs/2112.02475
http://arxiv.org/abs/2112.02475
Publikováno v:
Image Processing On Line. 9:124-142
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5616ab93be2f321008f0dd2a805679b0
https://doi.org/10.5201/ipol.2019.243
https://doi.org/10.5201/ipol.2019.243
Publikováno v:
ICCP
Features obtained from object recognition CNNs have been widely used for measuring perceptual similarities between images. Such differentiable metrics can be used as perceptual learning losses to train image enhancement models. However, the choice of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c3bfa1e56ce7c6cfa5c069183d82909
https://doi.org/10.1109/iccp51581.2021.9466271
https://doi.org/10.1109/iccp51581.2021.9466271
We present a highly efficient blind restoration method to remove mild blur in natural images. Contrary to the mainstream, we focus on removing slight blur that is often present, damaging image quality and commonly generated by small out-of-focus, len
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::772c7b0cb43771f20e18e7772b756e7a
http://arxiv.org/abs/2012.09322
http://arxiv.org/abs/2012.09322