AN INTRODUCTION TO DIGITAL IMAGES
| Autor: | Patrick J. Van Fleet |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Lossless compression
Image formation business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Data_CODINGANDINFORMATIONTHEORY Grayscale Digital image Computer Science::Computer Vision and Pattern Recognition Digital image processing Computer vision Artificial intelligence business Image resolution Image compression |
| Zdroj: | Discrete Wavelet Transformations ISBN: 9781119555414 Discrete Wavelet Transformations: An Elementary Approach with Applications |
| DOI: | 10.1002/9781119555414.ch3 |
| Popis: | One of the main application areas of wavelet transforms is image processing. Wavelet transforms can be used in processes designed to compress images, search for edges in images, or enhance image features. This chapter presents the basics of digital images. It explains how a grayscale (monochrome) image can be interpreted by computer software, how one can represent a grayscale image using a matrix, and how matrices can be used to manipulate images. The chapter also presents an introduction to some basic intensity transformations. It also deals with digital color images as well as some popular color spaces that are useful for image processing. An important step in image compression is that of data encoding. Huffman coding, introduced by David Huffman, is an example of lossless compression. The chapter also explains how to calculate the cumulative energy of a signal or image, and discusses the qualitative measures: entropy and peak signal‐to‐noise ratio. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|