ICIP 2023 Paper Review Categories
* indicates that this line can be assigned as a paper's topic.
1: | Biomedical Signal Processing | |||
1.1*: | Brain/human-computer interfaces | |||
1.2*: | Biological imaging | |||
1.3*: | Biological image analysis | |||
1.4*: | Medical image analysis | |||
1.5*: | COVID-related image processing | |||
3: | Multidimensional Signal Processing | |||
3.1*: | Algorithms and multidimensional transforms | |||
3.2*: | Signal and system modeling and identification | |||
3.3*: | Spectral estimation | |||
3.4*: | Applications of multidimensional signal processing | |||
4: | Applications of Machine Learning | |||
4.1*: | Machine learning for biomedical signal and image processing | |||
4.2*: | Machine learning for multidimensional signal processing | |||
4.3*: | Machine learning for image & video sensing, modeling, and representation | |||
4.4*: | Machine learning for image processing | |||
4.5*: | Machine learning for image and video communications | |||
4.6*: | Machine learning for electronic imaging | |||
4.7*: | Machine learning for image & video analysis, synthesis, and retrieval | |||
4.8*: | Machine learning for information forensics and security | |||
4.9*: | Machine Learning for 3D Image and Video Processing | |||
4.10*: | Machine learning for computational imaging | |||
5: | Imaging and Media Applications | |||
5.1*: | Image and video processing over networks | |||
5.2*: | Media cloud computing and communication | |||
5.3*: | Multimedia streaming and transport | |||
5.4*: | Wireless/mobile multimedia | |||
6: | Image and Video Sensing, Modeling, and Representation | |||
6.1*: | Image & video sensing and acquisition | |||
6.2*: | Statistical-model based methods | |||
6.3*: | Structural-model based methods | |||
6.4*: | Image & video representation | |||
6.5*: | Perception and quality models for images & video | |||
7: | Image and Video Processing | |||
7.1*: | Linear and nonlinear filtering of images & video | |||
7.2*: | Restoration and enhancement | |||
7.3*: | Interpolation, super-resolution, and mosaicing | |||
7.4*: | Partial differential equation based processing of images & video | |||
7.5*: | Multiresolution processing of images & Video | |||
7.6*: | Formation and reconstruction | |||
8: | Image and Video Communications | |||
8.1*: | Lossy coding of images & video | |||
8.2*: | Lossless coding of images & video | |||
8.3*: | Error resilience and channel coding for image & video systems | |||
8.4*: | Imaging & video networks | |||
8.5*: | Image & video multimedia communications | |||
9: | Electronic Imaging | |||
9.1*: | Image scanning and capture | |||
9.2*: | Color and multispectral imaging | |||
9.3*: | Printing and halftoning | |||
9.4*: | Scanned document analysis, processing, and coding | |||
9.5*: | Hardware and software systems for image & video processing | |||
10: | Image and Video Analysis, Synthesis, and Retrieval | |||
10.1*: | Image & Video Mid-Level Analysis | |||
10.2*: | Image & Video Interpretation and Understanding | |||
10.3*: | Image & Video Biometric Analysis | |||
10.4*: | Image & Video Storage and Retrieval | |||
10.5*: | Image & Video Synthesis, Rendering, and Visualization | |||
11: | Computational Imaging Methods and Models | |||
11.1*: | Coded Image Sensing | |||
11.2*: | Compressed Sensing | |||
11.3*: | Statistical Image Models | |||
11.4*: | Sparse and Low Rank Models | |||
11.5*: | Graphical Image Models | |||
11.6*: | Learning-Based Models | |||
11.7*: | Perceptual Image Models | |||
11.8*: | Multi-image & sensor fusion | |||
13: | Computational Imaging Systems | |||
13.1*: | Medical imaging: image formation, reconstruction, restoration | |||
13.2*: | Computational Photography | |||
13.3*: | Mobile Imaging | |||
13.4*: | Pervasive Imaging | |||
13.5*: | Human Centric Computing | |||
13.6*: | Microscopic Imaging | |||
13.7*: | Spectral Sensing | |||
13.8*: | Tomographic Imaging | |||
13.9*: | Magnetic resonance imaging | |||
13.10*: | Acoustic Imaging: Computational acoustic and ultrasound imaging | |||
13.11*: | Radar Imaging | |||
13.12*: | Novel Computational Imaging Systems | |||
13.13*: | Non-Linear Computational Imaging Systems | |||
13.14*: | High-performance embedded computing systems | |||
13.15*: | Big Data Computational Imaging: High performance computing | |||
13.16*: | Integrated Hardware/Digital Design | |||
13.17*: | Non-traditional Sensor Systems | |||
15: | Information Forensics and Security | |||
15.1*: | Biometrics | |||
15.2*: | Multimedia forensics | |||
15.3*: | Multimedia content hash | |||
15.4*: | Surveillance | |||
15.5*: | Watermarking and data hiding | |||
16: | Three-Dimensional Image and Video Processing | |||
16.1*: | Light-field Image Processing and Compression | |||
16.2*: | 3D Image and Video Analysis and Compression | |||
16.3*: | 3D video signal processing | |||
16.4*: | Stereoscopic and multiview processing and display | |||
16.5*: | Point cloud processing | |||
16.6*: | Image and video processing augmented and virtual reality |