The two-volume proceedings set constitutes the revised selected papers of the 22nd International Forum of Digital TV and Wireless Multimedia Communications, IFTC 2025, held in Taiyuan, China, during November 2022, 2025. The 64 full papers were included in this were carefully reviewed and selected from 165 submissions. They focus to promote technology, equipment, and applications in the field of digital media by comparing the characteristics, frameworks, and significant techniques and their maturity, analyzing the performance of various applications in terms of scalability, manageability, and portability, and discussing the interfaces among varieties of networks and platforms.

Inhalt
.- Image/Video Processing and Analysis. .- Video Background Modeling Based on Diffusion Model. .- AGFNet:A Dual-branch Real-time Semantic Segmentation Network Based on Attention-guided Fusion. .- A Lightweight Progressive Co-Attention Network for Fine-Grained Cat and Dog Image Classification. .- Pathological Image Super-Resolution Reconstruction Based on Sparse Coding Non-Local Attention Flow Model. .- LNN-MPUNet: A Physics-Guided Multi-Stage Progressive U-Net for Seismic Random Noise Suppression. .- DHRNet: Decoupled HSV Representation Learning Network for Low-Light Enhancement. .- Explicable Low-Light Image Enhancement Based on Bidirectional Color-Consistency Constrained Optimization Model. .- Scalable Image Compression for Electric Power Inspection. .- Towards Reliable Cervical Cancer Screening: A Multimodal Transfer Learning Approach. .- MSTA-Net: Selecting High-Diagnostic-Value Segments in CLE Videos by Inferring Operator Cognitive Intent. .- PGSFNet: Progressive Geometric-to-Semantic Fusion Network for Anime Character Line Art Colorization. .- ELDCNN: Edge Extraction and Large KernelAattention Based Dual Convolutional Neural Network for Low-Dose CT Image Denoising. .- Color Filter Array Interpolation Using Two-Dimensional Discrete 3×4 Order HMM. .- Prior-Guided Augmented Lagrangian Multiplier Algorithm for Image Extrapolation. .- Light Field Image Super-Resolution Network Based on Feature Iterative Separation and Fusion. .- Content-Aware Reference Structure Optimization for Video Coding Using Image Fingerprints. .- Multi-Instance Multi-Label Learning Based on a Gated Graph Attention Network. .- EEG-Based Spatio-Temporal Brain Model for Alzheimer's Disease Classiffication. .- MSDF-Net: A Multi-Scale Dynamic Fusion Network for Skin Lesion Segmentation. .- Event Stream Separation Method Based on Polarization Dynamic Vision Response Imaging Technology. .- A Digital Image Robust Watermarking Model with Multi-Scale Attention. .- DMGS-YOLOv8: Improved Dual-Modal Object Detection Based on YOLOv8. .- Dual-Track Graph Fusion Network for Hyperspectral Pathology Image Segmentation. .- Frequency Filtering and Domain Adaptation for Cross-Domain Few-Shot Object Detection. .- DICJD-SR: Dual-stage Information Complementary Joint Demosaicing and Super-Resolution for Color Polarization Images. .- Multi-Task Voting Feature Transformation Network for Gastrointestinal Tumor Segmentation. .- Mixed-Scale Gated Attention-Deficit Modality Brain Tumor Segmentation Network. .- Low-Light Image Enhancement with Degradation-Feature Guided Cross-Channel Interaction. .- Polarization-Enhanced YOLO for Road Target Detection in Extreme Weather. .- A Benchmark Large-Size Infrared Image Dataset for Ethylene Leakage Segmentation. .- A Benchmark Large-Size Cement Image Dataset for Dust Segmentation. .- An Edge-Aware Cross-Attentive Multiscale Method with Softmax-Gated Fusion for Air Pollution Monitoring.