Digital Image Enhancement and Reconstruction 1st Edition

Digital Image Enhancement and Reconstruction — 1st Edition by Shyam Rajput, Nafis Khan, Amit Singh, and Karm Arya

Capture sharper results from imperfect data. This practical, modern guide introduces core theories and hands-on methods for image enhancement and reconstruction—essential reading for students, researchers, and professionals in image processing, computer vision, medical imaging, and remote sensing.

Start with clear, accessible explanations of noise models, filtering, deblurring, and restoration techniques, then progress to advanced reconstruction algorithms and contemporary approaches using transform methods and data-driven models. Real-world examples and algorithmic insights make complex concepts approachable without sacrificing rigor, so you can implement solutions for microscopy, MRI, satellite imagery, surveillance, and industrial inspection.

Why this edition stands out:
– Balanced coverage of mathematical foundations and application-ready techniques.
– Stepwise exposition of denoising, edge-preserving filtering, interpolation, and inverse-problem strategies.
– Emphasis on reproducible workflows and performance evaluation for quantitative improvement.

Whether you are pursuing a degree in engineering, upgrading skills for industry roles in India or abroad, or conducting research across Europe, North America, or Asia, this book equips you with the tools to turn noisy or incomplete images into reliable information. It’s both a classroom companion and a reference for practitioners seeking robust reconstruction pipelines.

Bring clarity to your images. Order your copy of Digital Image Enhancement and Reconstruction — 1st Edition today and start transforming data into insight. Available for delivery in India and worldwide.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.