International Journal of Image Processing and Pattern Recognition
E-ISSN: 2456-6985
Editor Overview
ijippr maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
Dr. R. Madana Mohana
Professor
Bharat Institute of Engineering and Technology, Ibrahimpatnam, Hyderabad,, Telangana, India
Editor in Chief
International Journal of Image Processing and Pattern Recognition
Email :
Publisher
JournalsPub, An imprint of Dhruv Infosystems Pvt. Ltd.
E-mail:
[email protected]
Phone:
(+91)-0120- 4781-200
Mobile:
(+91)-981-007-8958
(+91)-966-7725-932
Focus and Scope
Last Update: 26-Apr-25
About the Journal
International Journal of Image Processing and Pattern Recognition (IJIPPR) is a peer-reviewed, hybrid open-access journal launched in 2015 that acknowledges papers concerned with image processing and pattern recognition. All topics from image analysis to quadratic discriminant analysis fall under the scope and focus of this journal.
Focus and Scope
- Image Analysis: Picture processing, pattern recognition, image analysis, image representation, noise sensitivity, information redundancy, regular moments, Legendre moments, Zernike moments, rotational moments, complex moments, moment methods, image reconstruction, polynomials, stochastic resonance, pattern analysis, image recognition, image sampling.
- Image Understanding: Algorithm component, process definition, medical image understanding, domain-specific language, XML-based process definition language, object recognition, computer vision, applied mathematics, signal analysis, artificial intelligence, medical image analysis software engineering, medical image understanding algorithm, software component model, MPDL.
- Digital Image Processing: Digital image processing, courseware use, image understanding, undergraduate group projects, courseware design, image analysis, undergraduate courses, applied image processing, computer vision, teaching computer-aided instruction, machine vision, image processing.
- Text Compression: XML compression, text compression, markup-aware text compression, markup-awareness, Unix-like tool, XML data, XML markup data compression, text analysis, XML, protocols, data compression, educational institutions, roads, runtime, hybrid power systems.
- Still Image Compression: Multimedia, telecommunication systems, still image compression, color transformation, rounding error accumulation, transform techniques, predictive techniques, linear transformations, lossless compression image coding, image color analysis, roundoff errors, vectors, transform coding, quantization, biomedical imaging, data processing, TV production.
- Video Image Compression: Hybrid block/segment-based video compression, very low bit rate compression, algorithmic architecture, coding algorithms, image frames, block-based algorithm, segment-based algorithm, video coding, compression ratios, visual quality, image sequence, block-based coding, ITU-T H.263, block matching, 2D translations, color coefficients, DCT coefficients, spatial accuracy, spline approximation, polygon approximation, motion prediction, affine transform data compression, video coding, discrete cosine transforms, transform coding, image matching, motion estimation.
- Feature Extraction: Global feature extraction, local feature extraction, hierarchical MAX method, HMAX method, pixel-level feature extraction, biologically inspired feature extraction, HSV color space model, Gaussian filter, standard HMAX method, biometric features, age estimation, surveillance, security, socioeconomic benefit distribution, human population, digital revolution, facial feature extraction.
- Linear Discriminant Analysis: Genetic algorithms, algorithm design and analysis, data mining, infrared spectra, calibration, Bayesian methods, statistics, error analysis, classification algorithms, linear classifier, genetic arithmetic, feature wavelength.
- Artificial Intelligence and Deep Learning in Image Processing: Deep convolutional neural networks (CNNs), generative adversarial networks (GANs), transfer learning, transformer models for vision, deep learning for object recognition, AI-based medical image analysis.
- Big Data and Cloud-Based Image Analytics: Scalable image processing, distributed pattern recognition, cloud computing platforms (AWS, Azure, GCP) for image analysis, big data solutions for image repositories.
- 3D Image Processing and Augmented/Virtual Reality Applications: 3D image reconstruction, AR/VR integration, stereoscopic vision, depth estimation, 3D modeling for medical and industrial imaging.
- Quantum Computing in Image Processing: Quantum algorithms for image compression, quantum pattern recognition methods, and quantum image analysis frameworks.
- Cybersecurity and Image Forensics: Image steganography, cryptographic image authentication, forensic analysis of images, anti-tampering technologies, security applications using pattern recognition.
- Explainable Artificial Intelligence (XAI) and Ethical AI: Interpretable machine learning for pattern recognition, bias detection in image analysis, ethical AI in surveillance and medical imaging, fairness and transparency in AI-based image processing systems.
Keywords
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Image Analysis
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Pattern Recognition
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Medical Image Understanding
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Digital Image Processing
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Machine Vision
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Feature Extraction
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Deep Learning in Image Processing
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3D Image Reconstruction
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Quantum Image Processing
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Video Compression
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Text Compression
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Cybersecurity in Image Analysis
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Big Data Image Analytics
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Explainable AI (XAI)
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Augmented and Virtual Reality (AR/VR)