Use this procedure to perform HSV and color-normalized sharpening on an image.
Example
This example performs color-normalized sharpening on an image.
e = ENVI()
File1 = Filepath('qb_boulder_pan', Root_Dir = e.Root_Dir, $
Subdir = ['data'])
HighResRaster = e.OpenRaster(File1)
HRFid = ENVIRasterToFID(HighResRaster)
ENVI_File_Query, HRFid, DIMS=Hdims
File2 = Filepath('qb_boulder_msi', Root_Dir = e.Root_Dir, $
Subdir = ['data'])
LowResRaster = e.OpenRaster(File2)
LRFid = ENVIRasterToFID(LowResRaster)
ENVI_File_Query, LRFid, DIMS=Ldims
OutFile = e.GetTemporaryFilename()
ENVI_Doit, 'Sharpen_Doit', $
FID = [LRFid, LRFid, LRFid], $
F_FID = HRFid, $
F_DIMS = Hdims, $
F_POS = [0], $
POS = [0,1,2], $
METHOD = 1, $
INTERP = 0, $
OUT_NAME = OutFile, $
OUT_BNAME = ['Red', 'Green', 'Blue']
Syntax
ENVI_DOIT, 'SHARPEN_DOIT', F_DIMS=array, F_FID=file ID, F_POS=long integer, FID=file ID, /IN_MEMORY, INTERP={0 | 1 | 2}, METHOD={0 | 1}, OUT_BNAME=string array, OUT_NAME=string, POS=array, R_FID=variable
Keywords
F_DIMS
Use this keyword to specify the spatial dimensions of the high resolution image. F_DIMS is a five-element array of long integers with the following definitions:
- F_DIMS[0]: A pointer to an open ROI; use only in cases where ROIs define the spatial subset. Otherwise, set to -1L.
- F_DIMS[1]: The starting sample number. The first x pixel is 0.
- F_DIMS[2]: The ending sample number
- F_DIMS[3]: The starting line number. The first y pixel is 0.
- F_DIMS[4]: The ending line number
F_FID
Use this keyword to specify the high resolution data file ID for the open file. This value is returned from the keyword R_FID in the ENVI_OPEN_FILE procedure. FID is a long integer with a value greater than 0. An invalid file ID has a value of -1.
F_POS
Use this keyword to specify the band position of the high resolution sharpening band. F_POS is a single long-integer value greater than or equal to 0.
FID
The file ID (FID) is a long-integer scalar with a value greater than 0. An invalid FID has a value of -1. The FID is provided as a named variable by any routine used to open or select a file. Often, the FID is returned from the keyword R_FID in the ENVIRasterToFID routine. Files are processed by referring to their FIDs. If you work directly with the file in IDL, the FID is not equivalent to a logical unit number (LUN).
IN_MEMORY
Set this keyword to specify that output should be stored in memory. If you do not set IN_MEMORY, output will be stored on disk and you must specify OUT_NAME (see below).
INTERP
Use this keyword to specify an integer value corresponding to the interpolation type. Choose one of the following.
- 0: Nearest neighbor
- 1: Bilinear
- 2: Cubic convolution
METHOD
Use this keyword to specify the sharpening method. METHOD is one of the following long-integer values.
- 0: HSV sharpening
- 1: Color-normalized sharpening
OUT_BNAME
Use this keyword to specify a string array of output band names.
OUT_NAME
Use this keyword to specify a string with the output filename for the resulting data. If you set the keyword IN_MEMORY, you do not need to specify OUT_NAME.
POS
Use this keyword to specify an array of band positions, indicating the band numbers on which to perform the operation. This keyword indicates the spectral subset of bands to use in processing. POS is an array of long integers, ranging from 0 to the number of bands minus 1. Specify bands starting with zero (Band 1=0, Band 2=1, etc.) For example, to process only Bands 3 and 4 of a multi-band file, POS=[2, 3].
POS is typically used with individual files. The example code below illustrates the use of POS for a single file with four bands of data:
pos=[0,1,2,3]
envi_doit, 'envi_stats_doit', dims=dims, fid=fid, pos=pos, $
comp_flag=3, dmin=dmin, dmax=dmax, mean=mean, stdv=stdv, hist=hist
But what if you need to create an output file consisting of data from different bands, each from different files? Library routines such as CF_DOIT and ENVI_LAYER_STACKING_DOIT can accomplish this, but they use the POS keyword differently. Suppose you have four files, test1, test2, test3, and test4, with corresponding FIDs of fid1, fid2, fid3, and fid4, respectively. In the following example, you want Band 3 from test1 in the first position, Band 2 from test2 in the second position, Band 6 from test3 in the third position, and Band 4 from test4 in the fourth position. The code should be as follows:
fid_array = [fid1,fid2,fid3,fid4]
pos=[2,1,5,3]
envi_doit, 'cf_doit', dims=dims, fid=fid_array
out_name='test_composite_file'
R_FID
ENVI Classic library routines that result in new images also have an R_FID, or “returned FID.” This is simply a named variable containing the file ID to access the processed data. Specifying this keyword saves you the step of opening the new file from disk.
API Version
4.3