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- W4255539316 abstract "Linear transformations are often used to rearrange the data into a particular form. In particular they can be used to separate different components of an image, for example separating signal from interference or noise. The Fourier transform is one of the most commonly used linear transforms in image and signal processing. Closely related to the Fourier transform is the discrete cosine transform (DCT). Whereas the Fourier transform has both sine and cosine components, the DCT is made purely from cosine terms. The application of the DCT to image and video coding is discussed in more detail in. As with the Fourier transform,wavelets have a wide range of applications within image processing and some of the main applications are introduced in this chapter. One of the most significant applications of the wavelet transform is in image compression. Controlled Vocabulary Terms data compression; discrete cosine transforms; Fourier transforms; image processing; video coding" @default.
- W4255539316 created "2022-05-12" @default.
- W4255539316 date "2011-06-01" @default.
- W4255539316 modified "2023-10-17" @default.
- W4255539316 title "Linear Transforms" @default.
- W4255539316 doi "https://doi.org/10.1002/9780470828519.ch10" @default.
- W4255539316 hasPublicationYear "2011" @default.
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