# Discrete cosine transform c#

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discrete cosine transform (mathematics) (DCT) A technique for expressing a waveform as a weighted sum of cosines. The DCT is central to many kinds of signal processing, especially video compression. Given data A(i), where i is an integer in the range 0 to N-1, the forward DCT (which would be used e.g. by an encoder) is: B(k) = sum A(i) cos((pi k/N) (2 i ...
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Discrete Cosine Transform • it follows that ⎪⎧ j k π [ ] 0, [ ] 2 , 0 ⎪⎩ ⎪ =⎨ ≤ < − otherwise C k e N Y k k N x • in summary, we have three steps [ ] [ ] DFT [ ] [ ] { { { 123 N pt x N pt N pt N pt x n y n Y k C k − − − − ↔ ↔ ↔ 2 2 •this interpretation is useful in various ways – it provides insight on why the DCT has better energy compaction
The two-dimensional discrete cosine transform (DCT) is used to represent images as weighted sums of cosines having different horizontal and vertical frequenc...
Discrete Cosine Transform • it follows that ⎪⎧ j k π [ ] 0, [ ] 2 , 0 ⎪⎩ ⎪ =⎨ ≤ < − otherwise C k e N Y k k N x • in summary, we have three steps [ ] [ ] DFT [ ] [ ] { { { 123 N pt x N pt N pt N pt x n y n Y k C k − − − − ↔ ↔ ↔ 2 2 •this interpretation is useful in various ways – it provides insight on why the DCT has better energy compaction A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. The DCT, first proposed by Nasir Ahmed in 1972, is a widely used transformation technique in signal processing and data compression .
B. Discrete Cosine Transform (DCT): The Discrete Cosine Transform (DCT) has been applied extensively to the area of image compression. It has excellent energy-compaction properties and as a result has been chosen as the basis for the Joint Photography Experts Group (JPEG) still picture compression standard. DCT is an example of transform coding ...M 1 and c2 = 1 2 for l = 0 and c2 = 1 for l = 1,. . ., N 1. Note that again this may be computed as an inner product in two dimensions, just like the 2D DFT. Crucial to the theory of image reconstruction and compression is the 2D inverse Discrete Cosine Transform (2D iDCT), which is the signal x˜ C deﬁned as x˜ C(m,n) := 2 p MN M 1 å k=0 N ...
Discrete Cosine Transform DCT implementation C. Im trying to implement a forward and inverse Discrete Cosine Transform (DCT) in C. The code is to transorm a single input block of pixels to the transformation matrix via the dct () function and then back to the original pixel values via the idct () function. Please see the attached code. Discrete Cosine Transform (DCT) is an orthogonal transformation method that decomposes an image to its spatial frequency spectrum. It expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. It is used a lot in compression tasks, e..g image compression where for example high-frequency components can be discarded.M 1 and c2 = 1 2 for l = 0 and c2 = 1 for l = 1,. . ., N 1. Note that again this may be computed as an inner product in two dimensions, just like the 2D DFT. Crucial to the theory of image reconstruction and compression is the 2D inverse Discrete Cosine Transform (2D iDCT), which is the signal x˜ C deﬁned as x˜ C(m,n) := 2 p MN M 1 å k=0 N ...
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