SA-DCT
所属分类:图形图像处理
开发工具:matlab
文件大小:3938KB
下载次数:6
上传日期:2018-10-22 13:01:32
上 传 者:
唯爱酥酥
说明: 点态SA-DCT正则化反卷积。
本文给出的所有结果,都是使用基于低复杂度SA-DCT的算法得到的,并且可以使用点态自适应DCT Demobox进行复制。
用于去模糊,去噪,都有很好的效果。
(Pointwise SA-DCT regularized deconvolution.
All the results given in this paper are obtained using a low complexity SA-DCT algorithm, and can be replicated using a point-wise adaptive DCT Demobox.
It has good effect for deblurring and denoising.)
文件列表:
demo_SADCT_color_denoising.m (33858, 2016-05-16)
demo_SADCT_deblocking.m (47347, 2016-05-16)
demo_SADCT_deblurring.m (34833, 2016-05-16)
demo_SADCT_denoising.m (28909, 2016-05-16)
demo_SADCT_inverse_halftoning.m (31036, 2016-05-16)
function_AnisLPAICI8.p (1698, 2016-05-09)
function_LumChrom2rgb.m (2291, 2016-05-16)
function_rgb2LumChrom.m (3406, 2016-05-16)
function_SADCT_RI_thresholding.mexa64 (160345, 2012-07-02)
function_SADCT_RI_thresholding.mexglx (154399, 2012-07-02)
function_SADCT_RI_thresholding.mexmaci (202812, 2012-07-02)
function_SADCT_RI_thresholding.mexmaci64 (178200, 2012-07-02)
function_SADCT_RI_thresholding.mexw32 (44032, 2006-04-12)
function_SADCT_RI_thresholding.mexw64 (148480, 2008-10-17)
function_SADCT_RW_wiener.mexa64 (131601, 2012-07-02)
function_SADCT_RW_wiener.mexglx (129759, 2012-07-02)
function_SADCT_RW_wiener.mexmaci (194564, 2012-07-02)
function_SADCT_RW_wiener.mexmaci64 (174048, 2012-07-02)
function_SADCT_RW_wiener.mexw32 (114688, 2006-10-04)
function_SADCT_RW_wiener.mexw64 (145408, 2008-10-17)
function_SADCT_thresholding_fast.mexa64 (136057, 2012-07-02)
function_SADCT_thresholding_fast.mexglx (142419, 2012-07-02)
function_SADCT_thresholding_fast.mexmaci (166232, 2012-07-02)
function_SADCT_thresholding_fast.mexmaci64 (129368, 2012-07-02)
function_SADCT_thresholding_fast.mexw32 (159744, 2006-04-20)
function_SADCT_thresholding_fast.mexw64 (190464, 2008-10-17)
function_SADCT_wiener_fast.mexa64 (148254, 2012-07-02)
function_SADCT_wiener_fast.mexglx (154584, 2012-07-02)
function_SADCT_wiener_fast.mexmaci (170240, 2012-07-02)
function_SADCT_wiener_fast.mexmaci64 (141568, 2012-07-02)
function_SADCT_wiener_fast.mexw32 (180224, 2006-04-20)
function_SADCT_wiener_fast.mexw64 (228352, 2008-10-17)
function_shape_explorer.m (15320, 2016-05-16)
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)
... ...
Pointwise Shape-Adaptive DCT Demobox - Public release v1.43 (15 May 2016)
------------------------------------------------------------------------------------------------------------
(c) 2005-2016
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)
a function
SADCT_denoising.m (denoising of grayscale images; similar to demo_SADCT_denoising.m),
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 main demo files 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).
[Corresponding mexw***, mexa***, mexmaci, mexmaci***, and mexglx files are provided for various platforms].
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 7.5.
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 1.43 to 1.42:
* updated: SADCT_denoising.m (fixed call to function_stdEst.m when sigma is not specified)
changes from version 1.42 to 1.41:
* updated: p-codes updated to enable compatibility with newer Matlab versions.
* updated: most m-files, replacing calls to old function_stdEst2D with calls to newer function_stdEst
changes from version 1.41 to 1.40:
+ added: SA_DCT_denoising.m implements the denoising as a function
+ added: mex-files for Windows *** bit, Linux 32 bit, and Linux *** bit, MacOSX 32 bit, MacOSX *** bit.
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:
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).
Questions/feedback:
If you have any comment, suggestion, or question, please do
contact Alessandro Foi at firstname.lastname@tut.fi
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