PACS Desktop Viewer
The image sharpening process overcomes some capture, processing and other effects in an image. Sharpening filter settings are defined in the table below:
Setting | Range | Description |
Weight |
0.1 to 10.0 |
Filter strength. A higher value applies to a stronger filter |
Core size |
0.5 to 10.0 |
Magnitude of the image feature being analyzed, as a percentage of the kernel size. Smaller values sharpen lines by can enhance noise. Larger values reduce noise but can blur lines |
Kernel size |
1.5 to 10.0 |
Size of the processing matrix in unit size. Larger kernel sizes increase processing time |
Size unit |
Pixel |
Setting unit size |
Image smoothing reduces the noise in an image to smooth out transitions between data points. Smoothing filter settings are defined in the table below:
Setting | Range | Description |
Size |
1.0 to 10.0 |
Size of the processing matrix in unit size. |
Size Unit |
Pixel |
Setting unit size. |
The edge detection algorithm identifies significant changes in the image data, which typically occur along the edges of the anatomical structure in the image. Edge detection filter settings are defined in the table below:
Setting | Range | Description |
Weight |
-100 to +100 |
Filter strength. A higher value applies to a stronger filter. |
Core Size |
0.5 to 10.0 |
Magnitude of the image feature being analyzed, as a percentage of the kernel size. Smaller values sharpen lines by can enhance noise. Larger values reduce noise but can blur lines. |
Kernel Size |
1.5 to 10.0 |
Size of the processing matrix in unit size. Larger kernel sizes increase processing time. |
Size Unit |
Pixel |
Setting unit size. |