Image Compression and Processing: Techniques and Applications
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 53
Special Issue Editors
Interests: general areas of signal processing and communications; image/video compression
Special Issue Information
Dear Colleagues,
This Special Issue, titled “Image Compression and Processing: Techniques and Applications”, invites original research and reviews that advance how we represent, transmit, restore, and interpret visual data. We welcome contributions spanning classical signal-processing pipelines and emerging learning-based approaches, with an emphasis on rate–distortion–complexity trade-offs, perceptual quality, robustness, and deployability at scale.
Topics of interest include (but are not limited to) the following:
- Lossless and lossy image compression;
- Learned codecs and generative priors (variational autoencoders, diffusion, transformers, neural fields);
- Perceptual and task-oriented compression;
- Lightweight, real-time, and energy-aware methods for edge/embedded devices;
- Artifact removal, super-resolution, denoising, and in-loop processing;
- High dynamic range (HDR), wide color gamut (WCG), and multispectral/hyperspectral imaging;
- Privacy-preserving and secure compression;
- Adaptive content-aware and semantics-aware pipelines;
- Benchmarking, datasets, and reproducibility;
- Image quality evaluation metrics, subjective studies and human-in-the-loop assessment;
- Compression for downstream vision tasks (detection, segmentation) and for cross-modal pipelines;
- Techniques optimized for domain-specific data such as medical imaging, earth observation/remote sensing, cultural heritage, industrial inspection, and autonomous systems.
We particularly encourage submissions that demonstrate measurable gains under realistic constraints (compute, memory, power, latency), provide open resources (code, pretrained models, datasets, protocols), explore fairness, safety, and ethics, including bias and privacy, or report negative results that sharpen community understanding.
By assembling contributions across theory, algorithms, systems, and applications, this Special Issue aims to map the state of the art and chart actionable directions for the next generation of image compression and processing technologies. We look forward to your submissions.
Prof. Dr. Lisimachos P. Kondi
Dr. Matina Ch. Zerva
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- image compression
- learned codecs
- generative priors
- rate–distortion–complexity
- perceptual quality
- HDR/WCG
- hyperspectral
- edge/embedded
- task-oriented compression
- artifact removal
- super-resolution
- medical imaging
- remote sensing
- privacy-preserving methods
- benchmarking and datasets
- evaluation metrics
- reproducibility
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