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M. Fernández-Barciela

4 papers hereh-index 12517 citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • eess.SP1
same name
  • M. Fernández-Barciela — 2 papers, h 3
  • M. Fernández-Barciela — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedSimple Method for Perfect Reconstruction QMF Filter Design

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

eess.IV2023

The 3D-DCT transform: didactic experiment and possible useful tool

Fernando Martin-Rodriguez, Fernando Isasi-de-Vicente, Mónica Fernandez-Barciela

This article is about an image transform called 3D-DCT, or three-dimensional discrete cosine transform. This is an extension of the well-known 1D and 2D-DCT, which is extensively u…

eess.IV2022

Computer Vision Methods for Automating Turbot Fish Cutting

Fernando Martin-Rodriguez, Fernando Isasi-de-Vicente, Monica Fernandez-Barciela

This paper is about the design of an automated machine to cut turbot fish specimens. Machine vision is a key part of this project as it is used to compute a cutting curve for the s…

eess.SP2022★ 2 cited

Simple Method for Perfect Reconstruction QMF Filter Design

Fernando Martin-Rodriguez, Fernando Isasi-de-Vicente, Monica Fernandez-Barciela

The purpose of this work is the design of FIR QMF (Quadrature Mirror Filters) filters of perfect reconstruction and odd number of coefficients (even order). By design, these filter…

eess.IV2021

Testing Robustness of Camera Fingerprint (PRNU) Detectors

Fernando Martin-Rodriguez

In the field of forensic imaging, it is important to be able to extract a 'camera fingerprint' from one or a small set of images known to have been taken by the same camera. Ideall…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.