Multi Frequency Processing (MFP)

Creates emphasized images by simultaneously applying edge enhancement processing on dark/light areas and peripheral tissues.

This process creates an optimum image for various diagnostic purposes by combining the dark/light data with the peripheral tissue data. The created image has a natural tone.

MFP has the following characteristics when used in combination with Gradation Processing:

  • The shading between the dark/light areas and the peripheral tissue areas can be effectively balanced without affecting the graininess.
  • Invisible areas can be displayed more naturally.
  • Non-human elements such as metals can be differentiated from human body parts and de-emphasized.

Conventional frequency processing method

After a smoothed image is made by averaging the neighboring pixels on the original image, a subtraction image between the original image and the smoothed image is made.

Density-dependent emphasis processing is then performed on the subtraction image and the result is added to the original image to obtain a frequency emphasized image.

New multi-frequency processing method

After multiple smoothed images are made by averaging the neighboring pixels on the original image, multiple subtraction images between the original image and the smoothed images are made. Non-linear conversion processing is then performed on the subtraction images.

Contrast-dependent emphasis processing is then performed on the subtraction images and their results are combined into the addition image.

Density-dependent emphasis processing is then performed on the addition image to obtain a multi-frequency emphasized image. Finally, dynamic compression processing is performed on it.

Note

  • * Image Intelligence™ is a registered trademark of FUJIFILM Corporation.