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Characterization of healthy skin with high-frequency ultrasound using quantitative ultrasound
(Pontificia Universidad Católica del Perú, 2018-08-20)
The skin is the largest organ of the body that protects it from the external environment. High- frequency ultra sound (HF-US) has been used to visualize the skin in depth and to diagnose some pathologies in dermatological ...
Robust Minimmun Variance Beamformer using Phase Aberration Correction Methods
(Pontificia Universidad Católica del Perú, 2017-04-28)
The minimum variance (MV) beamformer is an adaptive beamforming method that has the potential
to enhance the resolution and contrast of ultrasound images. Although the sensitivity of the MV
beamformer to steering vector ...
Automatic regularization parameter selection for the total variation mixed noise image restoration framework
(Pontificia Universidad Católica del Perú, 2013-03-27)
Image restoration consists in recovering a high quality image estimate based only on
observations. This is considered an ill-posed inverse problem, which implies non-unique
unstable solutions. Regularization methods allow ...
3D updating of solid models based on local geometrical meshes applied to the reconstruction of ancient monumental structures
(Pontificia Universidad Católica del Perú, 2014-10-14)
We introduce a novel methodology for locally updating an existing 3D solid model of a complex monumental structure with the geometric information provided by a 3D mesh (point cloud) extracted from the digital survey of a ...
Computationally inexpensive parallel parking supervisor based on video processing
(Pontificia Universidad Católica del Perú, 2013-12-05)
Parallel parking, in general, is a moderate difficulty maneuver. Moreover, for inexperienced
drivers, it can be a stressful situation that can lead to errors such as stay far from
the sidewalk or damage another vehicle ...
Multi-scale image inpainting with label selection based on local statistics
(Pontificia Universidad Católica del Perú, 2014-09-09)
We proposed a novel inpainting method where we use a multi-scale approach to speed
up the well-known Markov Random Field (MRF) based inpainting method. MRF based
inpainting methods are slow when compared with other ...
Separable dictionary learning for convolutional sparse coding via split updates
(Pontificia Universidad Católica del Perú, 2019-05-16)
The increasing ubiquity of Convolutional Sparse Representation techniques for several image processing
tasks (such as object recognition and classification, as well as image denoising) has recently
sparked interest in ...
Corn crops identification using multispectral images from unmanned aircraft systems
(Pontificia Universidad Católica del Perú, 2019-04-08)
Climate change and migration of population from rural to urban areas are affecting the agricultural production around the world. This study was based in the particular department of Ancash - Peru where corn is one of the ...
Novel Edge-Preserving Filtering Model Based on the Quadratic Envelope of the l0 Gradient Regularization
(Pontificia Universidad Católica del Perú, 2023-01-26)
In image processing, the l0 gradient regularization (l0-grad) is an inverse problem which penalizes the l0 norm of the reconstructed image’s gradient. Current state-of-the art algorithms for solving this problem are based ...
Optimal vicinity 2D median filter for fixed-point or floating-point values
(Pontificia Universidad Católica del Perú, 2024-06-19)
Los filtros medianos son una técnica digital no lineal normalmente usada para remover
ruido blanco, ’sal y pimienta’ de imágenes digitales. Consiste en reemplazar el valor de
cada pixel por la mediana de los valores ...