Introductory Digital Image Processing

By Arjun Raj M Sooraj V S

Introduction to Image Processing: Provide a foundation in digital image processing, focusing on techniques for enhancing, analyzing, and interpreting images in various formats and applications. Image Representation and Formats: Discuss how images are represented digitally using pixels, resolution, color models (RGB, grayscale), and common file formats (JPEG, PNG, TIFF). Image Enhancement Techniques: Explore methods such as contrast adjustment, histogram equalization, and noise reduction to improve image quality for better visualization. Image Filtering and Transformation: Introduce spatial and frequency domain filtering techniques using convolution, Fourier transforms, and edge detection to extract meaningful features. Image Segmentation and Analysis: Discuss techniques for segmenting images into regions or objects, including thresholding, region growing, and edge-based methods for object recognition. Morphological Operations: Examine the use of morphological techniques (e.g., erosion, dilation) in binary image processing for shape analysis and noise removal. Compression and Storage: Highlight image compression methods such as lossless (PNG) and lossy (JPEG), which help reduce file size while maintaining image integrity. Applications and Tools: Explore practical applications in fields like medical imaging, remote sensing, security, and computer vision, and introduce basic tools and software used in digital image processing (e.g., MATLAB, OpenCV).

• Format: Hardcover
• Language: English
• ISBN: 9360843210
• ISBN13: 9789360843212
• Release Date: January 2026
• Publisher: Wordpen Academics
• Length: 126 Pages
• Weight: 0.79 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"