Description: This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m -- forward curvelet transform
afdct_usfft.m -- adjoint curvelet transform
ifdct_usfft.m -- inverse curvelet transform
fdct_usfft_param.m -- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m -- display the shape of a curvelet
fdct_usfft_demo_recon.m -- partial reconstruction using curvelet
fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m -- image denoising using curvelet Platform: |
Size: 160954 |
Author:daisy |
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Description: This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m -- forward curvelet transform
afdct_usfft.m -- adjoint curvelet transform
ifdct_usfft.m -- inverse curvelet transform
fdct_usfft_param.m -- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m -- for fixed scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m -- display the shape of a curvelet
fdct_usfft_demo_recon.m -- partial reconstruction using curvelet
fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m -- image denoising using curvelet-This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m-- forward curvelet transform
afdct_usfft.m-- adjoint curvelet transform
ifdct_usfft.m-- inverse curvelet transform
fdct_usfft_param.m-- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m-- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m-- for fixed scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m-- display the shape of a curvelet
fdct_usfft_demo_recon.m-- partial reconstruction using curvelet
fdct_usfft_demo_disp.m-- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m-- image denoising using curvelet Platform: |
Size: 160768 |
Author:daisy |
Hits:
Description: Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accurately capture
the edge information which is the most important texture
feature in an image. Recent researches on multi-scale
analysis, especially the curvelet research, provide good
opportunity to extract more accurate texture feature for
image retrieval. Curvelet was originally proposed for
image denoising and has shown promising performance.
In this paper, a new image feature based on curvelet
transform has been proposed. We apply discrete curvelet
transform on texture images and compute the low order
statistics from the transformed images. Images are then
represented using the extracted texture features. Retrieval
results show, it significantly outperforms the widely used
Gabor texture feature. Platform: |
Size: 1426432 |
Author:Swati |
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Description: I m doing my thesis in Image Denoising using Matlab.I m using Curvelet transform and median filtering techniques to remove gaussian and salt and pepper noises. Platform: |
Size: 4096 |
Author:Supreet Mann |
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Search - image denoising using curvelet transform