Miguel Hernández-Cabronero

Orcid: 0000-0001-9301-4337

According to our database1, Miguel Hernández-Cabronero authored at least 44 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating.
IEEE Geosci. Remote. Sens. Lett., 2024

Resiliency and Efficiency of the CCSDS 124.0-B-1 Telemetry Compression Standard.
IEEE Access, 2024

2023
A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning.
Remote. Sens., September, 2023

Probability models for highly parallel image coding architecture.
Signal Process. Image Commun., March, 2023

2022
Reducing Data Dependencies in the Feedback Loop of the CCSDS 123.0-B-2 Predictor.
IEEE Geosci. Remote. Sens. Lett., 2022

Performance Improvement on k²-Raster Compact Data Structure for Hyperspectral Scenes.
IEEE Geosci. Remote. Sens. Lett., 2022

Accelerating BPC-PaCo through Visually Lossless Techniques.
J. Vis. Commun. Image Represent., 2022

IQUAFLOW: A new framework to measure image quality.
CoRR, 2022

Hyperspectral remote sensing data compression with neural networks.
Proceedings of the Data Compression Conference, 2022

Analysis of Lossless Compressors Applied to Integer and Floating-Point Astronomical Data.
Proceedings of the Data Compression Conference, 2022

2021
Redundancy and Optimization of tANS Entropy Encoders.
IEEE Trans. Multim., 2021

DivNet: Efficient Convolutional Neural Network via Multilevel Hierarchical Architecture Design.
IEEE Access, 2021

Block-Wise Intra-Prediction of Imaging Data Based on Overfitted Neural Networks with On-Line Learning.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Hybrid Intra-Prediction in Lossless Video Coding using Overfitted Neural Networks.
Proceedings of the 31st Data Compression Conference, 2021

2020
High-Performance Lossless Compression of Hyperspectral Remote Sensing Scenes Based on Spectral Decorrelation.
Remote. Sens., 2020

Analysis of Variable-Length Codes for Integer Encoding in Hyperspectral Data Compression with the k2-Raster Compact Data Structure.
Remote. Sens., 2020

High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests.
IEEE Access, 2020

2019
Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images.
IEEE Trans. Medical Imaging, 2019

Performance Impact of Parameter Tuning on the CCSDS-123.0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression Standard.
Remote. Sens., 2019

Lower Bounds on the Redundancy of Huffman Codes With Known and Unknown Probabilities.
IEEE Access, 2019

A Novel Rate-Control for Predictive Image Coding With Constant Quality.
IEEE Access, 2019

Perception-Optimized Encoding for Visually Lossy Image Compression.
Proceedings of the Data Compression Conference, 2019

2018
Lossless Compression of Color Filter Array Mosaic Images With Visualization via JPEG 2000.
IEEE Trans. Multim., 2018

Graph-Based Rate Control in Pathology Imaging With Lossless Region of Interest Coding.
IEEE Trans. Medical Imaging, 2018

Dual Link Image Coding for Earth Observation Satellites.
IEEE Trans. Geosci. Remote. Sens., 2018

Bounds on the Redundancy of Huffman Codes with Known and Unknown Probabilities.
CoRR, 2018

A Visual Discrimination Model for JPEG2000 Compression.
Proceedings of the 2018 Data Compression Conference, 2018

2017
The Current Role of Image Compression Standards in Medical Imaging.
Inf., 2017

Coding block-level perceptual video coding for 4: 4: 4 data in HEVC.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Cross-Color Channel Perceptually Adaptive Quantization for HEVC.
Proceedings of the 2017 Data Compression Conference, 2017

2016
Analysis-Driven Lossy Compression of DNA Microarray Images.
IEEE Trans. Medical Imaging, 2016

Progressive Lossy-to-Lossless Compression of DNA Microarray Images.
IEEE Signal Process. Lett., 2016

Fast MCT optimization for the compression of whole-slide images.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Fast lossless compression of whole slide pathology images using HEVC intra-prediction.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Lossy compression of natural HDR content based on multi-component Transform optimization.
Proceedings of the Digital Media Industry & Academic Forum, 2016

Transform Optimization for the Lossy Coding of Pathology Whole-Slide Images.
Proceedings of the 2016 Data Compression Conference, 2016

Regression Wavelet Analysis for Progressive-Lossy-to-Lossless Coding of Remote-Sensing Data.
Proceedings of the 2016 Data Compression Conference, 2016

2015
DNA Microarray Image Compression.
PhD thesis, 2015

Isorange Pairwise Orthogonal Transform.
IEEE Trans. Geosci. Remote. Sens., 2015

2013
A Distortion Metric for the Lossy Compression of DNA Microarray Images.
Proceedings of the 2013 Data Compression Conference, 2013

2012
Standard and Specific Compression Techniques for DNA Microarray Images.
Algorithms, 2012

DNA Microarray Image Coding.
Proceedings of the 2012 Data Compression Conference, Snowbird, UT, USA, April 10-12, 2012, 2012

2011
A Review of DNA Microarray Image Compression.
Proceedings of the First International Conference on Data Compression, 2011


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