Digital Signal Processing (DSP) in Image Processing

  Digital Signal Processing (DSP) in Image Processing Digital Signal Processing (DSP) plays a crucial role in modern image processing by enhancing, compressing, analyzing, and transforming digital images. DSP techniques allow us to manipulate images in ways that are critical for various fields, from medical imaging to multimedia, computer vision, remote sensing, and even artificial intelligence. This article will explore key DSP concepts, their application in image processing, and examples of their use. Introduction to DSP in Image Processing At its core, DSP is about analyzing and manipulating signals — in this case, images, which can be seen as two-dimensional signals. Each pixel in an image represents a data point, and DSP tools allow us to perform mathematical operations on these points to achieve desired results like filtering, compression, transformation, or restoration. Common DSP techniques in image processing include: Filtering : Removing noise or enhancing features. Compr...