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What is Discrete Cosine Transform (DCT)

Handbook of Research on Threat Detection and Countermeasures in Network Security
A finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies.
Published in Chapter:
Security in Digital Images: From Information Hiding Perspective
Mohammed A. Otair (Amman Arab University, Jordan)
DOI: 10.4018/978-1-4666-6583-5.ch021
Abstract
Due to the swift growth of the using of the digital multimedia in the internet these days, the security in digital images has become a very important issue. Lately, significant attentions are given by many researchers in the field of the security for digital images, and several image encryption techniques have been developed to improve the security levels of these images. Different techniques can be applied to protect intellectual property rights for digital images and prohibit illegal copying. The aim of this chapter is to introduce the most important techniques that have been developed to implement the security in digital images such as digital watermarking and image steganography.
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More Results
Fast Fractal Image Compression by Kicking Out Similar Domain Images
The discrete cosine transform (DCT) helps separate the image into parts (or spectral sub-bands) of differing importance (with respect to the image's visual quality). The DCT is similar to the discrete Fourier transform: it transforms a signal or image from the spatial domain to the frequency domain.
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Rate Adaptation Mechanisms for Multimedia Streaming
Transform used in signal and image processing applications. JPEG, MPEG, MJPEG, and DV are video and image formats based on DCT.
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Learning Aided Digital Image Compression Technique for Medical Application
Is a forward transform used in image compression. It separates DCT coefficients into most relevant and least relevant types.
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