Techniques and Applications of Image and Signal Processing : A Theoretical Approach

This paper comprehensively overviews image and signal processing, including their fundamentals, advanced techniques, and applications. Image processing involves analyzing and manipulating digital images, while signal processing focuses on analyzing and interpreting signals in various domains. The fundamentals encompass digital signal representation, Fourier analysis, wavelet transforms, filtering, and noise removal. Advanced techniques, such as deep learning for image classification and object detection, are explored. Image and signal processing applications include computer vision, medical imaging, audio processing, and communications. This paper is a valuable resource for understanding image and signal processing principles and applications, fostering further research and development in these fields.