A Comprehensive Review of Image Enhancement Techniques
Raman Maini, Himanshu Aggarwal

TL;DR
This paper reviews various image enhancement techniques, focusing on spatial domain methods like point processing and histogram adjustments, to improve visual quality based on application needs.
Contribution
It provides a comprehensive overview of image enhancement concepts and algorithms, emphasizing spatial domain techniques and their applications.
Findings
Highlights importance of choosing appropriate enhancement techniques
Discusses algorithms for point processing and histogram methods
Provides insights into application-specific enhancement strategies
Abstract
Principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper will provide an overview of underlying concepts, along with algorithms commonly used for image enhancement. The paper focuses on spatial domain techniques for image enhancement, with particular reference to point processing methods and histogram processing.
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Taxonomy
TopicsImage Enhancement Techniques · Advanced Image Fusion Techniques · Image and Signal Denoising Methods
