Ieee Transactions on Image Processing : a Publication of the Ieee Signal Processing Society
Overview
The 'IEEE Transactions on Image Processing' is a prestigious journal published by the IEEE Signal Processing Society. It focuses on the latest advancements in image processing, covering topics such as image analysis, computer vision, pattern recognition, and image coding. The journal publishes high-quality research articles, surveys, and reviews, making it a valuable resource for researchers, engineers, and practitioners in the field of image processing.
Details
Details
Abbr.
IEEE Trans Image Process
Start
1992
End
Continuing
Frequency
Monthly, 1995-
p-ISSN
1057-7149
e-ISSN
1941-0042
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 146
329
SJR / Ranks: 450
3556
CiteScore / Ranks: 434
18.20
JIF / Ranks: 418
10.6
Recent Articles
1.
Lu Z, Bai J, Li X, Xiao Z, Wang X
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40085459
Prompt learning has been recently introduced into the adaption of pre-trained vision-language models (VLMs) by tuning a set of trainable tokens to replace hand-crafted text templates. Despite the encouraging results...
2.
Zeng K, Wang Z, Lu T, Chen J, Liang C, Han Z
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40080384
Existing pose-invariant face recognition mainly focuses on frontal or profile, whereas high-pitch angle face recognition, prevalent under surveillance videos, has yet to be investigated. More importantly, tilted faces significantly differ...
3.
Luo J, Zhao Y, Luo X, Xiao Z, Ju W, Shen L, et al.
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40067731
Unsupervised efficient domain adaptive retrieval aims to transfer knowledge from a labeled source domain to an unlabeled target domain, while maintaining low storage cost and high retrieval efficiency. However, existing...
4.
Shi W, Chen C, Li K, Xiong Y, Cao X, Zhou Z
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40067730
Existing localization methods commonly employ vision to perceive scene and achieve localization in GNSS-denied areas, yet they often struggle in environments with complex lighting conditions, dynamic objects or privacy-preserving areas....
5.
Xiao Y, Yuan Q, Jiang K, Chen Y, Wang S, Lin C
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40053615
How to aggregate spatial-temporal information plays an essential role in video super-resolution (VSR) tasks. Despite the remarkable success, existing methods adopt static convolution to encode spatial-temporal information, which lacks flexibility...
6.
Yang Z, Yang L, Wang H, Zhao H, Liu D
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40053614
Nonnegative CANDECOMP/PARAFAC (CP) factorization of incomplete tensors is a powerful technique for finding meaningful and physically interpretable latent factor matrices to achieve nonnegative tensor completion. However, most existing nonnegative CP...
7.
Zhang Z, Lei J, Peng B, Zhu J, Xu L, Huang Q
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40048341
Recent years have witnessed the remarkable success of the vision-language model in various computer vision tasks. However, how to exploit the semantic language knowledge of the vision-language model to advance...
8.
Wang Z, Yi J, Chen A, Han G
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40048340
Monocular 3D object detection has garnered significant attention for its outstanding cost effectiveness compared with multi-sensor systems. However, previous work mainly acquires object 3D properties in a heuristic way, with...
9.
Nie W, Wang Z, Ren W, Zhang H, Liu H
IEEE Trans Image Process
. 2025 Mar;
34:1616-1631.
PMID: 40048339
The geometric alterations in the iris's appearance are intricately linked to the gaze direction. However, current deep appearance-based gaze estimation methods mainly rely on latent feature sharing to leverage iris...
10.
Li Y, Liu M, Cui Z, Ding Y, Zong Y, Zheng W, et al.
IEEE Trans Image Process
. 2025 Mar;
PP.
PMID: 40042957
Despite the impressive performance of current vision-based facial action unit (AU) detection approaches, they are heavily susceptible to the variations across different domains and the cross-domain AU detection methods are...