Signal Processing: Image Communication

Aims & Scope

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.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	2.7

SJR (SCImago Journal Rank)

Year	Value
2024	0.679

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	105

---

---

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

---

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

---

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Image database TID2013: Peculiarities, results and perspectives

  Citation: 915

  Authors: Nikolay, Lina, Oleg, Vladimir, Karen, Jaakko, Benoit, Kacem, Marco, Federica, C.-C.

• Video quality assessment based on structural distortion measurement

  Citation: 692

  Authors: Zhou, Ligang, Alan C.

• No-reference image quality assessment based on spatial and spectral entropies

  Citation: 576

  Authors: Lixiong, Bao, Hua, Alan Conrad

• An overview of the JPEG 2000 still image compression standard

  Citation: 464

  Authors: Majid, Rajan

• Shape-based image retrieval using generic Fourier descriptor

  Citation: 353

  Authors: Dengsheng, Guojun

• Perceptual blur and ringing metrics: application to JPEG2000

  Citation: 345

  Authors: Pina, Frederic, Stefan, Touradj

• A review of algorithms for filtering the 3D point cloud

  Citation: 338

  Authors: Xian-Feng, Jesse S., Ming-Jie, Wei, Lei, Liping

• Full-reference quality assessment of stereopairs accounting for rivalry

  Citation: 302

  Authors: Ming-Jun, Che-Chun, Do-Kyoung, Lawrence K., Alan C.

• Image steganography in spatial domain: A survey

  Citation: 299

  Authors: Mehdi, Ainuddin Wahid Abdul, Yamani Idna Bin, Anthony T.S., Ki-Hyun

• Less is more: Micro-expression recognition from video using apex frame

  Citation: 283

  Authors: Sze-Teng, John, KokSheik, Raphael C.-W.

---