Signal, Image and Video Processing

Aims & Scope

The journal is an interdisciplinary journal presenting the theory and practice of signal, image and video processing.

It aims at: - Disseminating high level research results and engineering developments to all signal, image or video processing researchers and research groups. - Presenting practical solutions for the current signal, image and video processing problems in Engineering and Science.

Subject areas covered by the journal include but are not limited to: Adaptive processing – biomedical signal processing – multimedia signal processing – communication signal processing – non-linear signal processing – array processing – statistics and statistical signal processing – modeling – filtering – data science – graph signal processing – multi-resolution signal analysis and wavelets – segmentation – coding – restoration – enhancement – storage and retrieval – colour and multi-spectral processing – scanning – displaying – printing – interpolation – image processing - video processing-motion detection and estimation – stereoscopic processing – image and video coding.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.523

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	61

Journal Rank

Year	Value
2024	11116

Journal Citation Indicator

Year	Value
2024	3321

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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 and Engineering, 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.

• Image fusion based on pixel significance using cross bilateral filter

  Citation: 484

  Authors: B. K.

• Multifocus and multispectral image fusion based on pixel significance using discrete cosine harmonic wavelet transform

  Citation: 287

  Authors: B. K.

• On the use of deep learning for blind image quality assessment

  Citation: 259

  Authors: Simone, Luigi, Paolo, Raimondo

• A survey on super-resolution imaging

  Citation: 227

  Authors: Jing, Kai-Kuang

• A comprehensive assessment of the structural similarity index

  Citation: 217

  Authors: Richard, Xue Dong

• Epileptic seizures detection in EEG using DWT-based ApEn and artificial neural network

  Citation: 214

  Authors: Yatindra, M. L., R. S.

• Leaf-based disease detection in bell pepper plant using YOLO v5

  Citation: 154

  Authors: Midhun P., Therese Yamuna

• Apple disease classification using color, texture and shape features from images

  Citation: 152

  Authors: Shiv Ram, Anand Singh

• Land-use scene classification using multi-scale completed local binary patterns

  Citation: 141

  Authors: Chen, Baochang, Hongjun, Wei, Lu

• Image denoising based on non-local means filter and its method noise thresholding

  Citation: 141

  Authors: B. K.

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