research-article

Perceptually Lossless Image Compression with Error Recovery

Authors:

Trac D. TranAuthors Info & Claims

ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing

Article No.: 16, Pages 1 - 5

https://doi.org/10.1145/3271553.3271602

Published: 27 August 2018 Publication History

Abstract

In many bandwidth constrained applications, lossless compression may be unnecessary, as only two to three times of compression can be achieved. An alternative way to save bandwidth is to adopt perceptually lossless compression, which can attain eight times or more compression without loss of important information. In this research, our first objective is to compare and select the best compression algorithm in the literature to achieve 8:1 compression ratio with perceptually lossless compression for still images. Our second objective is to demonstrate error concealment algorithms that can handle corrupted pixels due to transmission errors in communication channels. We have clearly achieved the above objectives using realistic images.

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Cited By

Ali MAhn CPant MKumar SSingh MSaini D(2020)An Optimized Digital Watermarking Scheme Based on Invariant DC Coefficients in Spatial DomainElectronics10.3390/electronics90914289:9(1428)Online publication date: 2-Sep-2020
https://doi.org/10.3390/electronics9091428
Li FKrivenko SLukin V(2020)Adaptive two-step procedure of providing desired visual quality of compressed imageProceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering10.1145/3443467.3443791(407-414)Online publication date: 6-Nov-2020
https://dl.acm.org/doi/10.1145/3443467.3443791
Kwan CLarkin JBudavari BChou BShang ETran T(2019)A Comparison of Compression Codecs for Maritime and Sonar Images in Bandwidth Constrained ApplicationsComputers10.3390/computers80200328:2(32)Online publication date: 28-Apr-2019
https://doi.org/10.3390/computers8020032
Show More Cited By

Index Terms

Perceptually Lossless Image Compression with Error Recovery
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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cover image ACM Other conferences

ICVISP 2018: Proceedings of the 2nd International Conference on Vision, Image and Signal Processing

August 2018

402 pages

ISBN:9781450365291

DOI:10.1145/3271553

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2018

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US Navy

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ICVISP 2018

ICVISP 2018: The 2nd International Conference on Vision, Image and Signal Processing

August 27 - 29, 2018

NV, Las Vegas, USA

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Overall Acceptance Rate 186 of 424 submissions, 44%

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Cited By

Ali MAhn CPant MKumar SSingh MSaini D(2020)An Optimized Digital Watermarking Scheme Based on Invariant DC Coefficients in Spatial DomainElectronics10.3390/electronics90914289:9(1428)Online publication date: 2-Sep-2020
https://doi.org/10.3390/electronics9091428
Li FKrivenko SLukin V(2020)Adaptive two-step procedure of providing desired visual quality of compressed imageProceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering10.1145/3443467.3443791(407-414)Online publication date: 6-Nov-2020
https://dl.acm.org/doi/10.1145/3443467.3443791
Kwan CLarkin JBudavari BChou BShang ETran T(2019)A Comparison of Compression Codecs for Maritime and Sonar Images in Bandwidth Constrained ApplicationsComputers10.3390/computers80200328:2(32)Online publication date: 28-Apr-2019
https://doi.org/10.3390/computers8020032
Kwan CZhou J(2018)High performance image completion using sparsity based algorithmsComputational Imaging III10.1117/12.2303661(16)Online publication date: 14-May-2018
https://doi.org/10.1117/12.2303661
Kwan CLarkin J(2018)Perceptually Lossless Compression for Mastcam Images2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796824(559-565)Online publication date: Nov-2018
https://doi.org/10.1109/UEMCON.2018.8796824
Kwan CChou BEchavarren ABudavari BLi JTran T(2018)Compressive Vehicle Tracking Using Deep Learning2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)10.1109/UEMCON.2018.8796778(51-56)Online publication date: Nov-2018
https://doi.org/10.1109/UEMCON.2018.8796778

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