International Journal of Image and Graphics

Aims & Scope

International Journal of Image and Graphics (IJIG) will emphasize on efficient and effective image and graphics technologies and systems, and provide a central forum for scientists, researchers, engineers and vendors from different disciplines to exchange ideas, identify problems, investigate relevant issues, share common interests, explore new directions, and initiate possible collaborative research and system development.

This journal will significantly benefit a large variety of academic and industrial sectors.

More specifically, this journal will cover the following research and application issues: Image Processing • Image acquisition and storage • Image pre-processing • Image coding and transmission • Image indexing and retrieval Image Analysis and Understanding • Image segmentation and measurement • Texture and motion analysis • Image matching and scene interpretation • 3-D modeling Pattern Recognition Application • Statistical, structural and neural approaches • Character, speech, image and video applications • Biometrics technologies and system Computer Vision • Active, real-time and stereo computer vision • VLSI image model, algorithm and architecture • Multi-modal image systems Graphics Modeling, Rendering and Animation • Graphics algorithms • Modeling methods • Rendering algorithms • Animation....

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2024	0.80

Journal Rank

Year	Value
2024	18554

Journal Citation Indicator

Year	Value
2024	352

SJR (SCImago Journal Rank)

Year	Value
2024	0.251

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	26

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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

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Subjects & Keywords

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

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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.

• RELIABLE TRANSITION DETECTION IN VIDEOS: A SURVEY AND PRACTITIONER'S GUIDE

  Citation: 177

  Authors: RAINER

• MODEL-BASED METHODS FOR STEGANOGRAPHY AND STEGANALYSIS

  Citation: 132

  Authors: PHIL

• Fine_Denseiganet: Automatic Medical Image Classification in Chest CT Scan Using Hybrid Deep Learning Framework

  Citation: 124

  Authors: Hemlata P., Ramgopal

• SEARCH FOR PATTERNS IN COMPRESSED TIME SERIES

  Citation: 106

  Authors: KEVIN B., EUGENE

• POLYHEDRAL MODEL RETRIEVAL USING WEIGHTED POINT SETS

  Citation: 91

  Authors: JOHAN W. H., REMCO C.

• FUNDAMENTALS OF BIOMETRIC AUTHENTICATION TECHNOLOGIES

  Citation: 82

  Authors: JAMES L.

• AUTOMATIC PALMPRINT VERIFICATION

  Citation: 46

  Authors: WEI, GANG, ZHAOQI, DAVID

• Log Transform Based Optimal Image Enhancement Using Firefly Algorithm for Autonomous Mini Unmanned Aerial Vehicle: An Application of Aerial Photography

  Citation: 46

  Authors: Sourav, Amartya, Amira S., Nilanjan, João Manuel R. S., Wahiba Ben, Redha, Ahmad Taher, Aboul Ella

• Camouflaged Object Detection and Tracking: A Survey

  Citation: 45

  Authors: Ajoy

• A Survey on Biometrics and Cancelable Biometrics Systems

  Citation: 43

  Authors: Bismita, Patrick, Biju, Valliappan, Manas Kumar

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