Signal Processing for Audio, Image, and Video: Modern Applications
Description
This book covers basic ideas of image, audio, and video processing and provides practical solutions for the current issues in audio, image, and video signal processing. This book not only shows how signal processing theory is applied in current and emerging technologies, but also illustrates how to address important issues such as improving speech recognition, increasing the accuracy of audio recognition, developing advanced imaging models for microscopy, and achieving the desired goal for various ML and DL applications. This book illustrates block diagram representations of widely used modern learning paradigms along with key learning architectures used in audio, image, and video signal processing. Tabular performance comparisons of various signal processing techniques and appropriate learning models are also presented in various chapters of the book.
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Content
Deep Learning in Medical Imaging Advancements, Challenges, and Future Directions.- Optimizing Gait Abnormality with A Multilayered Convolutional Neural Network Using Enhanced Feature Extraction.- Enhanced Edge-Cloud Computing for IoT Big Data Analytics Using Deep Learning Models.- Revolutionizing Disease Detection: Integrating Digital Pathology, Machine Learning, and Microscopy Imaging in Liver, Kidney, and Lung Diseases.- Anomaly Detection and Localization in Video Surveillance using Prediction based Approach.