Sante FFT Imaging Santesoft LTD
winget install --id=Santesoft.SanteFftImaging -e Sante FFT Imaging is a program that removes pattern noise from DICOM and plain images (jpg, tif, png and bmp). This type of noise is very common in images that have been digitized with a CR digitizer. The program uses the Fast Fourier Transform (FFT), convolution low-pass filters in frequency domain or/and direct frequency deleting to eliminate the pattern noise. With Sante FFT Imaging the user can delete the extra frequencies (stars and lines) of the pattern noise directly. After that, the pattern noise has eliminated from the image without losing the details (the high frequencies) of the image. Evaluate it in demo mode for 90 days.
Sante FFT Imaging is a specialized software tool designed to remove pattern noise from DICOM and plain images (including JPG, TIF, PNG, and BMP formats). This type of noise is common in images digitized with CR digitizers. The program employs advanced techniques such as Fast Fourier Transform (FFT), convolution low-pass filters in the frequency domain, or direct frequency deletion to effectively eliminate pattern noise while preserving image details.
Key Features:
- Utilizes FFT to transfer images from spatial to frequency domain for precise noise removal.
- Employs convolution low-pass filters and direct frequency deletion to target and remove unwanted frequencies associated with pattern noise.
- Preserves high-frequency details, ensuring that image clarity and diagnostic quality are maintained after processing.
Audience & Benefit: Ideal for radiologists, medical imaging professionals, and researchers working with CR digitized images. By removing pattern noise without compromising image details, Sante FFT Imaging enhances image quality, improving diagnostic accuracy and workflow efficiency. The software is particularly beneficial for users dealing with noisy images in clinical or research settings.
Available for installation via winget, the program offers a 90-day trial period to evaluate its capabilities.