train-test split

ICVL_test_complex.txt

@@ -0,0 +1,51 @@
+Labtest_0910-1502.mat
+Labtest_0910-1506.mat
+Labtest_0910-1510.mat
+Labtest_0910-1511.mat
+Lehavim_0910-1622.mat
+Lehavim_0910-1627.mat
+Lehavim_0910-1629.mat
+Lehavim_0910-1633.mat
+Lehavim_0910-1640.mat
+Lehavim_0910-1708.mat
+Lehavim_0910-1718.mat
+Lehavim_0910-1725.mat
+bulb_0822-0903.mat
+gavyam_0823-0945.mat
+gavyam_0823-0950-1.mat
+lehavim_0910-1605.mat
+lehavim_0910-1607.mat
+nachal_0823-1038.mat
+nachal_0823-1040.mat
+nachal_0823-1117.mat
+nachal_0823-1132.mat
+nachal_0823-1145.mat
+nachal_0823-1147.mat
+nachal_0823-1152.mat
+nachal_0823-1210-4.mat
+nachal_0823-1213.mat
+nachal_0823-1220.mat
+negev_0823-1005.mat
+objects_0924-1634.mat
+objects_0924-1645.mat
+objects_0924-1652.mat
+tree_0822-0853.mat
+IDS_COLORCHECK_1020-1223.mat
+objects_0924-1556.mat
+objects_0924-1558.mat
+objects_0924-1600.mat
+objects_0924-1601.mat
+objects_0924-1605.mat
+objects_0924-1610.mat
+objects_0924-1612.mat
+objects_0924-1619.mat
+objects_0924-1620.mat
+objects_0924-1622.mat
+objects_0924-1624.mat
+objects_0924-1627.mat
+objects_0924-1629.mat
+objects_0924-1631.mat
+objects_0924-1633.mat
+objects_0924-1636.mat
+objects_0924-1638.mat
+objects_0924-1639.mat

ICVL_test_gauss.txt

@@ -0,0 +1,50 @@
+CC_40D_2_1103-0917.mat
+IDS_COLORCHECK_1020-1215-1.mat
+Labtest_0910-1504.mat
+Labtest_0910-1509.mat
+Labtest_0910-1513.mat
+Lehavim_0910-1636.mat
+Lehavim_0910-1716.mat
+Lehavim_0910-1717.mat
+Master5000K_2900K.mat
+bulb_0822-0909.mat
+gavyam_0823-0930.mat
+gavyam_0823-0933.mat
+gavyam_0823-0944.mat
+lehavim_0910-1600.mat
+lehavim_0910-1602.mat
+lehavim_0910-1610.mat
+nachal_0823-1047.mat
+nachal_0823-1118.mat
+nachal_0823-1121.mat
+nachal_0823-1127.mat
+nachal_0823-1144.mat
+nachal_0823-1149.mat
+nachal_0823-1214.mat
+nachal_0823-1217.mat
+nachal_0823-1222.mat
+nachal_0823-1223.mat
+negev_0823-1003.mat
+objects_0924-1650.mat
+rmt_0328-1241-1.mat
+rmt_0328-1249-1.mat
+selfie_0822-0906.mat
+ulm_0328-1118.mat
+Lehavim_0910-1626.mat
+Lehavim_0910-1635.mat
+Master2900k.mat
+Master5000K.mat
+objects_0924-1550.mat
+objects_0924-1623.mat
+objects_0924-1557.mat
+objects_0924-1602.mat
+objects_0924-1607.mat
+objects_0924-1611.mat
+objects_0924-1614.mat
+objects_0924-1617.mat
+objects_0924-1625.mat
+objects_0924-1628.mat
+objects_0924-1632.mat
+objects_0924-1637.mat
+objects_0924-1641.mat
+objects_0924-1648.mat

ICVL_train.txt

@@ -0,0 +1,100 @@
+4cam_0411-1640-1.mat
+4cam_0411-1648.mat
+bguCAMP_0514-1659.mat
+bguCAMP_0514-1711.mat
+bguCAMP_0514-1712.mat
+bguCAMP_0514-1718.mat
+bguCAMP_0514-1723.mat
+bguCAMP_0514-1724.mat
+BGU_0403-1419-1.mat
+bgu_0403-1439.mat
+bgu_0403-1444.mat
+bgu_0403-1459.mat
+bgu_0403-1511.mat
+bgu_0403-1523.mat
+bgu_0403-1525.mat
+BGU_0522-1113-1.mat
+BGU_0522-1127.mat
+BGU_0522-1136.mat
+BGU_0522-1201.mat
+BGU_0522-1203.mat
+BGU_0522-1211.mat
+BGU_0522-1216.mat
+BGU_0522-1217.mat
+eve_0331-1551.mat
+eve_0331-1601.mat
+eve_0331-1602.mat
+eve_0331-1606.mat
+eve_0331-1618.mat
+eve_0331-1632.mat
+eve_0331-1633.mat
+eve_0331-1646.mat
+eve_0331-1647.mat
+eve_0331-1656.mat
+eve_0331-1657.mat
+eve_0331-1702.mat
+eve_0331-1705.mat
+Flower_0325-1336.mat
+hill_0325-1219.mat
+hill_0325-1228.mat
+hill_0325-1235.mat
+hill_0325-1242.mat
+Lehavim_0910-1630.mat
+eve_0331-1549.mat
+grf_0328-0949.mat
+lst_0408-0950.mat
+omer_0331-1055.mat
+peppers_0503-1311.mat
+prk_0328-1025.mat
+lst_0408-1004.mat
+lst_0408-1012.mat
+Master20150112_f2_colorchecker.mat
+Maz0326-1038.mat
+maz_0326-1048.mat
+mor_0328-1209-2.mat
+nachal_0823-1110.mat
+omer_0331-1102.mat
+omer_0331-1104.mat
+omer_0331-1118.mat
+omer_0331-1119.mat
+omer_0331-1130.mat
+omer_0331-1131.mat
+omer_0331-1135.mat
+omer_0331-1150.mat
+omer_0331-1159.mat
+peppers_0503-1308.mat
+peppers_0503-1315.mat
+peppers_0503-1330.mat
+peppers_0503-1332.mat
+pepper_0503-1228.mat
+pepper_0503-1229.mat
+pepper_0503-1236.mat
+plt_0411-1037.mat
+plt_0411-1046.mat
+plt_0411-1116.mat
+plt_0411-1155.mat
+plt_0411-1200-1.mat
+plt_0411-1207.mat
+plt_0411-1210.mat
+plt_0411-1211.mat
+plt_0411-1232-1.mat
+prk_0328-0945.mat
+prk_0328-1031.mat
+prk_0328-1034.mat
+prk_0328-1037.mat
+prk_0328-1045.mat
+Ramot0325-1364.mat
+ramot_0325-1322.mat
+rsh2_0406-1505.mat
+rsh_0406-1343.mat
+rsh_0406-1356.mat
+rsh_0406-1413.mat
+rsh_0406-1427.mat
+rsh_0406-1441-1.mat
+rsh_0406-1443.mat
+sami_0331-1019.mat
+sat_0406-1107.mat
+sat_0406-1129.mat
+sat_0406-1130.mat
+sat_0406-1157-1.mat
+strt_0331-1027.mat

README.md

@@ -28,6 +28,8 @@ on ICVL dataset in both Gaussian and complex noise cases, as shown below:
 
 Download ICVL hyperspectral image database from [here](http:https://icvl.cs.bgu.ac.il/hyperspectral/) (we only need ```.mat``` version)
 
+* The train-test split can be found in ```ICVL_train.txt``` and ```ICVL_test_*.txt```. (Note we split the 101 testing data into two parts for Gaussian and complex denoising respectively.)
+
 #### Training dataset
 
 *Note cafe (via conda install) and lmdb are required to execute the following instructions.*