This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10¿11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.

Modern Challenges & Limitations in Medical Science using Capsule Networks: A Comprehensive Review.- Studies on movie soundtracks over the last five years.- Blind Source Separation of EEG Signals using Wavelet and EMD Decomposition.- Image Extraction Approaches for Density Count Measurement in Obstruction Renography Using Radiotracer 99mTc-DTPA.- Deep Short-Term Long Memory Technique For Respiratory Lung Disease Prediction.- Utilizing Satellite Imagery For Flood Monitoring In Urban Regions.- Optimizing Permutations in Biclustering Algorithms.- Extracting Graphs from Plant Leaf Venations using Image Processing.- Multispectral fusion of multi-sensor image data using PCNN for performance evaluation in sensor networks.- U-Net based segmentation of coronary arteries in invasive coronary angiography.- Change Detection for Multispectral Remote Sensing Images Using Deep Learning.- Explainable AI for Black Sigatoka Detection.- ModifiedU-Net and CRF for image segmentation of crop images.- Securing Data in the Cloud: The Application of Fuzzy Identity Biometric Encryption for Enhanced Privacy and Authentication.- Quantum Convolutional Neural Network for Agricultural Mechanization and Plant Disease Detection.- Innovative Method for Alzheimer's Disease Detection Using Convolutional Neural Networks.- Segmentation of White Matter Lesions in MRI Images using Optimization-based Deep Neural Network.- A New Multi-Level Hazy Image and Video Dataset for Benchmark of Dehazing Methods.- Creative AI using DeepDream.- Tuberculosis Bacteria Detection Using Deep Learning Techniques.- An enhanced real-time system for wrong-way and over speed violation detection using deep learning.- U-Net based Denoising Autoencoder Network for de-speckling in fetal ultrasound images.- Galo Lexical Tone Recognition Using Machine Learning Approach