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13th International Conference on Digital Image Processing and Pattern Recognition (DPPR 2023)

DPPR 2023

Date of beginning

Saturday, 25 November 2023

Duration

2 days

Deadline for abstracts

Saturday, 11 November 2023

City

London, United Kingdom

Country

London, United Kingdom

Contact

dppr@cndc2023.org

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

13th International Conference on Digital Image Processing and Pattern Recognition (DPPR 2023) is a forum for presenting new advances and research results in the fields of Digital Image Processing.

Memo

13th International Conference on Digital Image Processing and Pattern Recognition (DPPR 2023) November 25 ~ 26, 2023, London, United Kingdom https://www.cndc2023.org/dppr/index Scope 13th International Conference on Digital Image Processing and Pattern Recognition (DPPR 2023) is a forum for presenting new advances and research results in the fields of Digital Image Processing. The Conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the conference covers all theoretical and practical aspects of the Digital Image Processing & Pattern Recognition, from basic research to development of application.Topics of interest include, but are not limited to, the following 3D and Stereo Imaging 3D and Surface Reconstruction Analog and Mixed Signal Processing Application & Others Applications (Biomedical, Bioinformatics, Genomic, Seismic, Radar, Sonar, Remote Sensing, Positioning, etc.) Array Signal Processing Audio/Speech Processing and Coding Biomedical Imaging Technologies Biometrics and Pattern Recognition Cognitive and Biologically-Inspired Vision Color and Texture Communication Signal processing Computer Communication and Networks Computer Vision & VR Constraint Processing Content-based Image retrieval Data Mining Techniques Detection and Estimation of Signal Parameters Digital & Mobile Signal Processing Distributed Source Coding Document Recognition DSP Implementation and Embedded Systems Face and Gesture Face Recognition Face Recognition & Super-resolution Imaging Filter Design and Structures FIR, IIR, Adaptive Filters Hardware Implementation for Signal Processing Higher Order Spectral Analysis Illumination and Reflectance Modeling Image acquisition & Medical Image Processing Image and Video Retrieval Image Coding and Compression Image Processing & Understanding Image Segmentation Image-Based Modeling Internet Signal Processing Knowledge Representation and High-Level Vision Medical Image Analysis Motion and Tracking Stereo and Structure from Motion Motion Detection Multidimensional Signal Processing Multiple Filtering and Filter Banks Nonlinear Signals and Systems Pattern Recognition and Analysis Signal Identification Signal Noise Control Signal Reconstruction Spectral Analysis Time-Frequency Signal Analysis Video Signal Processing Visualization Watermarking Paper Submission Authors are invited to submit papers through the conference Submission System by November 11, 2023. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DPPR 2023, after further revisions, will be published in the special issue of the following journal. Signal & Image Processing : An International Journal (SIPIJ) - WJCI Indexed International Journal of VLSI Design & Communication Systems (VLSICS) International Journal of Embedded Systems and Applications (IJESA) Information Technology in Industry (ITII) Important Dates Submission Deadline: November 11, 2023 Authors Notification:November 15, 2023 Registration & camera - Ready Paper Due:November 18, 2023 Contact Us Here's where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it.