@inproceedings{a080cb52acf74648b63d930783940508,
title = "Compression for multiple reconstructions",
abstract = "In this work we propose a method for optimizing the lossy compression for a network of diverse reconstruction systems. We focus on adapting a standard image compression method to a set of candidate displays, presenting the decompressed signals to viewers. Each display is modeled as a linear operator applied after decompression, and its probability to serve a network user. We formulate a complicated operational ratedistortion optimization trading-off the network's expected mean-squared reconstruction error and the compression bit-cost. Using the alternating direction method of multipliers (ADMM) we develop an iterative procedure where the network structure is separated from the compression method, enabling the reliance on standard compression techniques. We present experimental results showing our method to be the best approach for adjusting high bit-rate image compression (using the state-of-the-art HEVC standard) to a set of displays modeled as blur degradations.",
keywords = "Alternating direction method of multipliers (ADMM), Image compression, Image deblurring, Rate-distortion optimization, Signal compression",
author = "Yehuda Dar and Michael Elad and Bruckstein, {Alfred M.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 25th IEEE International Conference on Image Processing, ICIP 2018 ; Conference date: 07-10-2018 Through 10-10-2018",
year = "2018",
month = aug,
day = "29",
doi = "10.1109/ICIP.2018.8451743",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "440--444",
booktitle = "2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings",
address = "United States",
}