Code covered by the BSD License
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H=haarmtx(n)
HAARMTX Compute Haar orthogonal transform matrix.
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dstmtx(n)
DSTMTX Discrete sine transform matrix.
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getg(i)
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gethf(l)
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sltmtx(L)
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t=getDCTTransform(im,N)
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t=getHaarTransform(im,N)
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t=getHadamardTransform(im,N)
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t=getInvDCTTransform(im,N)
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t=getInvHaarTransform(im,N)
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t=getInvHadamardTransform(im,...
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t=getInvSlantTransform(im,N)
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t=getInvWalshTransform(im,N)
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t=getSlantTransform(im,N)
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t=getWalshTransform(im,N)
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walshMatrix=walsh(N)
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Basis_Images.m
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DCT_Image.m
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Haar_Image.m
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Hadamard_Image.m
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Slant_Image.m
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Walsh_Image.m
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View all files
Simulation of DCT, Walsh, Hadamard, Haar and Slant transform using variable block sizes
by Cavin Dsouza
16 Apr 2013
Performs non sinusoidal image transforms on gray-scale images and DCT using the dct matrix.
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| File Information |
| Description |
Performs non sinusoidal image transforms on gray-scale images and DCT using the dct matrix of given order of block size.
The reconstructed image is exactly identical to the original image depicting that the transforms are lossless. Also, codes for generation of walsh, slant and haar matrices have been included for the transform. |
| MATLAB release |
MATLAB 7.6 (R2008a)
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