demosaic
所属分类：图形图象
开发工具：matlab
文件大小：34KB
下载次数：80
上传日期：2009-10-22 20:39:27
上 传 者：
hammingpan
说明： 解Demosaici，使用连续逼近的方法！
(Motion-compensated (MC) video coding has been dominating in the past decades. From MPEG-1/2 to MPEG-4, H.263 and the latest H.264, we have witnessed that the accumulative improvement of MC video coding. However, what lacks in the standardization-propelled research is to maintain a healthy skeptism toward the role of MC in video coding. In this project, we attempt to challenge the current video coding paradigm by proposing a sound alternative that does not involve any explicit motion estimation or compensation. Instead, motivated by the duality between edge profile of 2D images and motion trajectory of 3D video)
文件列表:
var2.m (82, 2003-04-15)
alter_proj.m (489, 2003-07-17)
angle_est.m (113, 2003-11-20)
b_interp.m (591, 2003-11-23)
bilinear_interp.m (1009, 2000-10-06)
binterp.m (564, 2000-09-25)
cfa.m (133, 2000-09-21)
CFA_alter_proj.m (721, 2003-07-24)
CFA_debug.m (1520, 2004-07-01)
cfa_interp.m (693, 2000-10-09)
cfa_interp2.m (599, 2000-10-09)
CFA_lu.m (350, 2003-11-22)
CFA_main.m (864, 2004-07-01)
CFA_sa.m (871, 2003-11-24)
CFA_test.m (408, 2003-11-21)
color_corr.m (334, 2001-08-06)
color_pred.m (591, 2001-08-17)
color_pred2.m (596, 2001-10-10)
color_segment.m (451, 2000-10-09)
DemoPocs.m (7348, 2002-11-25)
esi.m (1481, 2000-09-25)
g_interp.m (472, 2003-07-23)
g_interp_b.m (396, 2000-10-09)
g_interp_esi.m (924, 2003-11-19)
g_interp_esi2.m (1080, 2000-10-09)
g_interp_log.m (295, 2000-10-09)
g_interp_mask.m (532, 2003-11-19)
g_interp_r.m (396, 2000-10-09)
ginterp.m (757, 2000-09-27)
ginterp1.m (684, 2000-09-25)
ginterp2.m (650, 2000-09-25)
ginterp_esi.m (713, 2000-10-06)
inv_rotate.m (263, 2004-01-10)
ishift.m (96, 1998-11-01)
ishift1.m (99, 1999-11-15)
log_interp.m (1689, 2000-10-06)
lu_interp.m (22203, 2003-11-22)
mask_update.m (121, 2003-11-21)
mse2.m (73, 2003-11-19)
my_rotate.m (267, 2004-01-10)
... ...
This package contains MATLAB implementation of the CFA demosaicing algorithm presented in the paper,
X. Li, "Demosaicing by successive approximation"
and two benchmark algorithms, namely
1. B. K. Gunturk, Y. Altunbasak and R. M. Mersereau, ``Color plane
interpolation using alternating projections ,'' {\em IEEE Trans.
on Image Proc.}, vol. 11, no. 9, pp. 997-1013, Sep. 2002.
2. Wenmain Lu and Yap-peng Tan, ``Color filter array demosaicing: new
method and performance measures,'' {\em IEEE Trans. on Image
Proc.}, vol. 12, no. 10, pp. 1194-1210, Oct. 2003.
To test these algorithms, simply run the following functions under MATLAB
> run_cfa('img',1,12); % test benchmark scheme 1
> run_cfa1('img',1,12); % test benchmark scheme 2
> run_cfa2('img',1,12); % test our own scheme
Note: cfa_main and cfa_debug are the two main functions of our proposed iterative demosaicing algorithm. The difference between them is the stopping criterion: cfa_main adopts a universal threshold and cfa_debug uses a two-class adaptive threshold.
Two text files (mse_result.txt and cielab_result.txt) includes the experiment results when running those test programs. If you have any question regarding the above work, please contact Xin Li at xinl@csee.wvu.edu.
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