My Wish Lists Login / Join

Digital Image Processing and Analysis

Digital Image Enhancement, Restoration and Compression

By: Scott E Umbaugh

Write A Review

eText | 13 January 2023 | Edition Number 4

At a Glance

Format
ePUB

eText

$102.29

or 4 interest-free payments of $25.57 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This eBook+ version includes the following enhancements:

- Over 200 homework problems

- A Solutions manual for the problems.

-True and False quizzes.

- 1000 PowerPoint slides

The book, Digital Image Enhancement, Restoration and Compression, focuses on human vision based imaging application development. Examples include making poor images look better, development of advanced compression algorithms, special effects imaging for motion pictures, and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored.

The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration and image compression. Numerous examples, including over 700 color images are used to illustrate the concepts discussed. Readers can explore their own application development with any programming languages, including C/C++, Matlab, Python, and R, and software is provided for both the Windows/C/C++ and Matlab environment.

The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint Slides and a complete Solutions Manual to the over 230 included problems. The book can also be used for self-study by those involved with application development, whether they are engineers, scientists, or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student to develop their skills.