ImageDev

Deblur2d

Enhances contrast and removes blur from a two-dimensional image.

Access to parameter description

This command is deprecated, it will be removed in ImageDev 2024.1.
You can use Deblurring2d instead.

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.

Note: This algorithm is now deprecated and will be removed in a future version. Please use Deblurring2d instead.

See also

Function Syntax

This function returns outputImage. 
// 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 outputImage. 
// Function prototype.
deblur_2d( input_image, sharpening_factor = 1, output_image = None )
This function returns outputImage. 
// Function prototype.
public static IOLink.ImageView
Deblur2d( IOLink.ImageView inputImage,
          double sharpeningFactor = 1,
          IOLink.ImageView outputImage = null );

Class Syntax

Parameters

Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. Image Grayscale or Multispectral nullptr
input
sharpeningFactor
The sharpening factor. Float64 >=0 1
output
outputImage
The output image. Its dimensions are forced to the same values as the input. Its data type is promoted. Image nullptr
Parameter Name Description Type Supported Values Default Value
input
input_image
The input image. image Grayscale or Multispectral None
input
sharpening_factor
The sharpening factor. float64 >=0 1
output
output_image
The output image. Its dimensions are forced to the same values as the input. Its data type is promoted. image None
Parameter Name Description Type Supported Values Default Value
input
inputImage
The input image. Image Grayscale or Multispectral null
input
sharpeningFactor
The sharpening factor. Float64 >=0 1
output
outputImage
The output image. Its dimensions are forced to the same values as the input. Its data type is promoted. Image null

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() );