Deblur2d
Enhances contrast and removes blur from a two-dimensional image.
Access to parameter description
For an introduction to image filters: see section Images Filtering.
This algorithm provides contrast enhancement and removes blur. It improves the boundaries of the different objects. The principle is to subtract from the image its own Laplacian.
A sharpening factor parameter controls the filter strength. The higher it is, the more sharpened the edges are and the more noise is revealed.
Note: The output image type is upgraded according to the Image type basic rule.
See also
Access to parameter description
For an introduction to image filters: see section Images Filtering.
This algorithm provides contrast enhancement and removes blur. It improves the boundaries of the different objects. The principle is to subtract from the image its own Laplacian.
A sharpening factor parameter controls the filter strength. The higher it is, the more sharpened the edges are and the more noise is revealed.
Note: The output image type is upgraded according to the Image type basic rule.
See also
Function Syntax
This function returns the outputImage output parameter.
// Function prototype.
std::shared_ptr< iolink::ImageView >
deblur2d( std::shared_ptr< iolink::ImageView > inputImage,
double sharpeningFactor,
std::shared_ptr< iolink::ImageView > outputImage = NULL );
This function returns the outputImage output parameter.
// Function prototype. deblur_2d( input_image, sharpening_factor = 1, output_image = None )
This function returns the outputImage output parameter.
// Function prototype.
public static IOLink.ImageView
Deblur2d( IOLink.ImageView inputImage,
double sharpeningFactor = 1,
IOLink.ImageView outputImage = null );
Class Syntax
Parameters
| Class Name | Deblur2d |
|---|
| Parameter Name | Description | Type | Supported Values | Default Value | |
|---|---|---|---|---|---|
 |
inputImage |
The input image. | Image | Grayscale or Multispectral | nullptr |
|
The sharpening factor. | Float64 | >=0 | 1 | |
 |
outputImage |
The output image. Its dimensions are forced to the same values as the input. Its data type is promoted. | Image | nullptr | |
Object Examples
std::shared_ptr< iolink::ImageView > polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" ); Deblur2d deblur2dAlgo; deblur2dAlgo.setInputImage( polystyrene ); deblur2dAlgo.setSharpeningFactor( 1.0 ); deblur2dAlgo.execute(); std::cout << "outputImage:" << deblur2dAlgo.outputImage()->toString();
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))
deblur_2d_algo = imagedev.Deblur2d()
deblur_2d_algo.input_image = polystyrene
deblur_2d_algo.sharpening_factor = 1.0
deblur_2d_algo.execute()
print( "output_image:", str( deblur_2d_algo.output_image ) )
ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" );
Deblur2d deblur2dAlgo = new Deblur2d
{
inputImage = polystyrene,
sharpeningFactor = 1.0
};
deblur2dAlgo.Execute();
Console.WriteLine( "outputImage:" + deblur2dAlgo.outputImage.ToString() );
Function Examples
std::shared_ptr< iolink::ImageView > polystyrene = ioformat::readImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "polystyrene.tif" ); auto result = deblur2d( polystyrene, 1.0 ); std::cout << "outputImage:" << result->toString();
polystyrene = ioformat.read_image(imagedev_data.get_image_path("polystyrene.tif"))
result = imagedev.deblur_2d( polystyrene, 1.0 )
print( "output_image:", str( result ) )
ImageView polystyrene = ViewIO.ReadImage( @"Data/images/polystyrene.tif" ); IOLink.ImageView result = Processing.Deblur2d( polystyrene, 1.0 ); Console.WriteLine( "outputImage:" + result.ToString() );