Journal Information
Signal Processing: Image Communication (SPIC)
Impact Factor:
Call For Papers
Signal Processing: Image Communication is an international journal for the development of the theory and practice of image communication. Its primary objectives are the following:

To present a forum for the advancement of theory and practice of image communication.

To stimulate cross-fertilization between areas similar in nature which have traditionally been separated, for example, various aspects of visual communications and information systems.

To contribute to a rapid information exchange between the industrial and academic environments.

The editorial policy and the technical content of the journal are the responsibility of the Editor-in-Chief, the Area Editors and the Advisory Editors. The Journal is self-supporting from subscription income and contains a minimum amount of advertisements. Advertisements are subject to the prior approval of the Editor-in-Chief. The journal welcomes contributions from every country in the world.

Signal Processing: Image Communication publishes articles relating to aspects of the design, implementation and use of image communication systems. The journal features original research work, tutorial and review articles, and accounts of practical developments.

Subjects of interest include image/video coding, 3D video representations and compression, 3D graphics and animation compression, HDTV and 3DTV systems, video adaptation, video over IP, peer-to-peer video networking, interactive visual communication, multi-user video conferencing, wireless video broadcasting and communication, visual surveillance, 2D and 3D image/video quality measures, pre/post processing, video restoration and super-resolution, multi-camera video analysis, motion analysis, content-based image/video indexing and retrieval, face and gesture processing, video synthesis, 2D and 3D image/video acquisition and display technologies, architectures for image/video processing and communication.
Last updated by Dou Sun in 2021-03-20
Special Issues
Special Issue on Signal Processing Image Communication Special Issue on Light Field Imaging
Submission Date: 2021-08-01

In recent years, light field (LF) imaging has received a great deal of attention due to its ability to capture a rich spatio-angular light ray representation that enables highly realistic and interactive visual experiences and opens new capabilities in machine perception. Many tech giants investing in Virtual Reality (VR) and Augmented Reality (AR) have also pointed towards the power of LF imaging for achieving ultra-realistic visual experiences, in which a user can walk into a real scene, freely move his/her head with Six Degrees of Freedom (6-DoF), and realistically perceive every little detail about the materials and lighting. These same capabilities make LF capture attractive in machine perception, for which natively handling complex illumination and material interactions can enable new levels of autonomy in challenging conditions. However, systems for LF imaging face unique challenges due in part to the large volume of data that must be captured, processed, and displayed. Although various efforts have been recently initiated, mainly for still LF images, there are still many open questions for enabling high-fidelity LF capture, processing, and ultra-realistic and interactive LF visual experiences. With applicability both in machine perception and human consumption of LFs, there are deep challenges in capturing high quality 6-DoF LF video content; finding suitable representations and architectures for interpreting, coding, streaming and playback on consumer and future LF displays; providing stable view synthesis results as the viewpoint moves in both space and time; and rendering view-dependent scene content that efficiently handle disocclusions, semi-transparent and mirror surfaces. Therefore, this special issue will focus on the latest advances related to high-fidelity, ultra-realistic LF imaging systems and their applications. Prospective authors are invited to submit high-quality manuscripts reporting original scientific works that will contribute to the future roadmap of the LF imaging technology. The topics of interest include, but are not limited to: - Light Field camera technology - Multi-camera capture, calibration, and fusion - 6-DoF image and video capture systems - Light field display systems - Light field representation and modelling - Light field reconstruction and super-resolution - Point cloud reconstruction from light fields - View synthesis for 6DoF systems - Light field compressive sensing - Light field feature detection and extraction - Salience detection using light fields - Geometry estimation from light fields - Light field coding and streaming - Light field processing and editing - Deep learning for light field coding - Deep learning for light field processing - VR/AR applications using light fields - Medical imaging using light fields - Light field microscopy - Quality of experience in light field applications - Light field imaging for safety-critical applications - Robotic perception using light fields
Last updated by Dou Sun in 2021-05-16
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