This document provides an overview of image enhancement techniques. It begins with session objectives that list different image enhancement methods including spatial-frequency domain, point operations, histogram operations, spatial operations, and transform operations. It then defines image enhancement as processing an image to make it more suitable for a specific application by accentuating features like edges and boundaries to improve display and analysis. The enhancement increases feature detectability without adding new information. Finally, it lists assignment questions about image processing, the benefits of digital image processing, and the definition of digital image processing.

1. Prof. Neeraj Bhargava
Pramod Singh Rathore
Department of Computer Science
School of Engineering & System Sciences,
MDS University Ajmer, Rajasthan, India
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Image Enhancement

2. Session Objectives
 What is Image ?
 Image enhancement methods:
 Spatial-Frequency domain enhancement methods
 Point operations
 Histogram operations
 Spatial operations
 Transform operations
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3. Image Enhancement
 The principal objective of image enhancement is to process a
given image so that the result is more suitable than the original
image for a specific application.
 It accentuates or sharpens image features such as edges,
boundaries, or contrast to make a graphic display more helpful
for display and analysis.
 The enhancement doesn't increase the inherent information
content of the data, but it increases the dynamic range of the
chosen features so that they can be detected easily.
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4. Cntd
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5. Image Enhancement
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6. Assignment 1
 What is Image processing ? Explain with suitable example
 What are the benefits of DIP
 What do you mean by DIP ?
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7. Queries ????
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