Introductory Digital Image Processing

Arjun Raj M Sooraj V S

ISBN 10: 9360843210 / ISBN 13: 9789360843212

Published by Astral International Pvt. Ltd. Jan 2026, 2026

About this Item

Neuware - 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).

Seller Inventory # 9789360843212

Bibliographic Details

• Title: Introductory Digital Image Processing
• Publisher: Astral International Pvt. Ltd. Jan 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 9360843210
• ISBN 13: 9789360843212
• Binding: Buch
• Condition: Neu
• Dimensions: 234W x 156H x 10D millimeters 234 millimeters width by 156 millimeters height by 10 millimeters depth
• Weight: 358 grams

About this title

Synopsis

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).