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Image Filtering

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May 1, 2024 3 minute read

Image filtering is a technique used to remove unwanted noise from an image while preserving important features. It has a variety of applications in the fields of computer vision, medical imaging, and remote sensing. Image filtering can also be used to improve the visual quality of images by enhancing contrast and brightness, or by removing unwanted artifacts and distortions.

What Is Image Filtering?

The goal of image filtering is to enhance an image by removing or modifying its features. This can be done using various linear and non-linear filters that process the image pixel by pixel. Filters are typically designed to achieve specific objectives, such as removing noise, sharpening edges, or reducing blur.

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Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Image Filtering.
This comprehensive textbook covers the fundamental concepts and algorithms of digital image processing, making it a valuable resource for both beginners and advanced practitioners. It provides a thorough exploration of topics such as image enhancement, restoration, segmentation, and compression.
This classic book provides a comprehensive collection of numerical recipes, including algorithms for image processing and filtering. It valuable resource for researchers and practitioners who need to implement image filtering techniques in their work.
Explores image restoration and enhancement techniques, including image filtering, from a signal processing perspective. It provides a rigorous treatment of the topic and is suitable for advanced students and researchers.
Provides a comprehensive introduction to the fundamentals of digital image filtering, making it suitable for both beginners and advanced practitioners. It covers a wide range of topics, including image enhancement, restoration, and segmentation.
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