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{ "item_title" : "Introductory Digital Image Processing", "item_author" : [" Arjun Raj M. Sooraj V. S. "], "item_description" : "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).", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/36/084/321/9360843210_b.jpg", "price_data" : { "retail_price" : "60.00", "online_price" : "60.00", "our_price" : "60.00", "club_price" : "60.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Introductory Digital Image Processing|Arjun Raj M. Sooraj V. S.

Introductory Digital Image Processing

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Overview

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).

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Details

  • ISBN-13: 9789360843212
  • ISBN-10: 9360843210
  • Publisher: Wordpen Academics
  • Publish Date: January 2026
  • Dimensions: 9.21 x 6.14 x 0.38 inches
  • Shipping Weight: 0.79 pounds
  • Page Count: 126

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