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
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
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() );