towlbox
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开发工具:Others
文件大小:2924KB
下载次数:1
上传日期:2017-08-15 14:07:55
上 传 者:
bohtdady
说明: 针对图象的二维自适应MDCT滤波工具箱,很实用 推荐给大家
(In view of the image two-dimensional adaptive toolbox, MDCT filtering is very practical Recommend to everyone)
文件列表:
Legal_Notice.txt (2929, 2006-03-08)
function_SADCT_RI_thresholding.dll (44032, 2006-04-12)
function_SADCT_RW_wiener.dll (114688, 2006-10-04)
function_SADCT_thresholding_fast.dll (159744, 2006-04-19)
function_SADCT_wiener_fast.dll (180224, 2006-04-19)
jpeg_read.dll (65536, 2003-10-30)
demo_SADCT_deblocking.m (47348, 2006-10-04)
demo_SADCT_deblurring.m (34838, 2006-10-04)
demo_SADCT_denoising.m (28843, 2006-10-04)
demo_SADCT_inverse_halftoning.m (31037, 2006-10-04)
function_LumChrom2rgb.m (2292, 2006-10-04)
function_rgb2LumChrom.m (3407, 2006-10-04)
function_shape_explorer.m (15319, 2006-04-06)
odemo_SADCT_color_denoising.m (33790, 2006-10-04)
function_AnisLPAICI8.p (19295, 2006-03-26)
image_Baboon512rgb.png (625179, 2005-10-29)
image_Barbara512.png (178047, 2005-09-16)
image_Barbara512v2.png (175255, 2005-09-16)
image_F16_512rgb.png (429132, 2005-12-08)
image_GreenPeppers512.png (165914, 2005-12-27)
image_House256.png (34399, 2005-09-16)
image_House256rgb.png (110937, 2005-10-29)
image_Lena512rgb.png (476195, 2005-10-29)
image_Peppers256.png (40181, 2005-10-05)
image_Peppers512rgb.png (507563, 2005-10-29)
matlab_temporary_jpeg_SA_DCT.jpg (2981, 2006-10-04)
JPEG_Toolbox_MATLAB_1.4.zip (64765, 2005-12-14)
Pointwise Shape-Adaptive DCT Demobox - Public release v1.40 (5 october 2006)
------------------------------------------------------------------------------------------------------------
(c) 2005-2006
Alessandro Foi
Kostadin Dabov
Tampere University of Technology, Tampere, FINLAND
http://www.cs.tut.fi/~foi/SA-DCT
------------------------------------------------------------------------------------------------------------
The package comprises five demos
demo_SADCT_denoising.m (denoising of grayscale images),
demo_SADCT_color_denoising.m (denoising of color images),
demo_SADCT_deblocking.m (deblocking and deringing of grayscale and color B-DCT compressed images),
demo_SADCT_deblurring.m (deblurring of grayscale images),
demo_SADCT_inverse_halftoning.m (reconstruction of grayscale images from binary halftones)
and a function which shows the adaptive-shape neighborhoods which are used in the demos as supports of the
Shape-Adaptive DCT transform
function_shape_explorer.m (visualization of the adaptive-shape neighborhoods).
The demos are open-source, and may be modified and tuned to be exploited with other data.
Each demo calls a pair of functions in order to perform hard-thresholding and Wiener filtering in SA-DCT domain.
In particular, the denoising and deblocking demos use
function_SADCT_thresholding_fast.dll (hard-thresholding in SA-DCT domain),
function_SADCT_wiener_fast.dll (Wiener-filtering in SA-DCT domain),
while the deblurring demo uses the pair
function_SADCT_RI_thresholding.dll (hard-thresholding in SA-DCT domain for regularized inverse),
function_SADCT_RW_wiener.dll (Wiener-filtering in SA-DCT domain for regularized-Wiener inverse).
Two more functions are called by the color denoising demo in order to perform color-space transformations:
function_rgb2LumChrom.m (inverse transformation),
function_LumChrom2rgb.m (forward transformation).
Starting from v1.10, a new function function_AnisLPAICI8.p is introduced to perform the Anisotropic LPA-ICI adaptive-scale
selection. It provides four to five times faster processing for the LPA-ICI part and requires much less memory than the
previous general code based on conv2 and function_ICI code.
Requirements:
This demobox is developed for Matlab version 7 and the dll's are compiled for x86 (Pentium3, Athlon, or better)+Windows.
This demobox requires a few functions from the Anisotropic Nonparametric Image Restoration Demobox
of LASIP Project (available for download at http://www.cs.tut.fi/~lasip/). It is suggested that the
Pointwise Shape-Adaptive DCT Demobox and the Anisotropic Nonparametric Image Restoration Demobox are
installed in the same folder.
The deblocking demo demo_SADCT_deblocking.m uses the function jpeg_read.dll from the Matlab JPEG Toolbox by Phil Sallee.
A complete release of this toolbox is included in our distribution in the file JPEG_Toolbox_MATLAB_1.4.zip.
What's new in this release:
changes from version 1.40 to 1.31:
+ added: demo_SADCT_inverse_halftoning.m (demo for reconstruction of grayscale images from binary halftones)
* updated: function_rgb2LumChrom.m (cleaner code)
* updated: function_LumChrom2rgb.m (cleaner code)
* updated: demo_SADCT_deblurring.m (cleaner code)
* updated: demo_SADCT_deblocking.m (added option to disable coefficient alignment)
* updated: demo_SADCT_denoising.m (added option to disable coefficient alignment)
* updated: demo_SADCT_color_denoising.m (added option to disable coefficient alignment)
* updated: function_SADCT_RW_wiener.dll (minor fix to regularization term)
changes from version 1.31 to 1.30:
! bugfix: demo_SADCT_deblurring.m (fixed: calculation of RW variance)
changes from version 1.30 to 1.20:
* updated: demo_SADCT_deblocking.m (added option to disable coefficient alignment)
* updated: demo_SADCT_denoising.m (added option to disable coefficient alignment)
* updated: demo_SADCT_color_denoising.m (added option to disable coefficient alignment)
* updated: function_SADCT_thresholding_fast.dll (now works with Pentium3/Athlon CPU, coeff. alignment can be disabled)
* updated: function_SADCT_wiener_fast.dll (now works with Pentium3/Athlon CPU, coeff. alignment can be disabled)
* updated: function_SADCT_RI_thresholding.dll (now works with Pentium3/Athlon CPU)
* updated: function_SADCT_RW_wiener.dll (now works with Pentium3/Athlon CPU)
changes from version 1.10 to 1.20:
+ added: demo_SADCT_deblocking.m (demo for deblocking and deringing of grayscale and color images)
* updated: demo_SADCT_denoising.m (added blocksize parameter to constrain the maximum size of the filtering block)
* updated: demo_SADCT_color_denoising.m (added blocksize parameter to constrain the maximum size of the filtering block)
* updated: function_shape_explorer.m (added blocksize parameter to constrain the maximum size of the filtering block)
changes from version 1.04 to 1.10:
+ added: function_AnisLPAICI8.p (enables much faster calculation of h_opt_Q, lower memory requirements)
* updated: demo_SADCT_denoising.m (uses function_AnisLPAICI8, added speed-up factor parameter)
* updated: demo_SADCT_color_denoising.m (uses function_AnisLPAICI8, added speed-up factor parameter)
changes from version 1.03 to 1.04:
! bugfix: demo_SADCT_deblurring.m (fixed: boundary handling for calculation of variance of LPA estimates)
changes from version 1.02 to 1.03:
* updated: demo_SADCT_denoising.m (improved comments, cleaner code, new image cropping, and more visualization options)
* updated: demo_SADCT_color_denoising.m (improved comments, cleaner code, new image cropping, and more visualization options)
* updated: function_rgb2LumChrom.m (improved comments and cleaner code)
* updated: function_LumChrom2rgb.m (improved comments and cleaner code)
* updated: function_shape_explorer.m (improved comments)
* updated: function_SADCT_thresholding_fast.dll (faster processing of constant blocks)
changes from version 1.01 to 1.02:
! bugfix: function_SADCT_thresholding_fast.dll (fixed: number of harmonics for square blocks)
changes from version 1.00 to 1.01:
! bugfix: function_SADCT_thresholding_fast.dll (fixed: preservation of mean for square blocks)
+ added: function_shape_explorer.m (shows adaptive-shape supports of SA-DCT)
Future additions:
A Linux version of the SA-DCT functions might be released in the future.
Updates, examples, publications, presentations, etc. can be found at http://www.cs.tut.fi/~foi/SA-DCT
Disclaimer:
Any unauthorized use of these routines for industrial or profit-oriented activities is expressively prohibited.
By downloading and/or using any of these files, you implicitly agree to all the terms of the TUT limited license
(included in the file Legal_Notice.txt).
Feedback:
The authors of the Pointwise Shape-Adaptive DCT Demobox can be contacted at their respective email addresses
firstname.lastname@tut.fi
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